Training in progress epoch 0

README.md

@@ -0,0 +1,358 @@
+---
+library_name: transformers
+license: other
+base_model: nvidia/mit-b0
+tags:
+- generated_from_keras_callback
+model-index:
+- name: jt5d/scene_segmentation
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# jt5d/scene_segmentation
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 4.8897
+- Validation Loss: 4.9843
+- Validation Mean Iou: 0.0042
+- Validation Mean Accuracy: 0.0135
+- Validation Overall Accuracy: 0.0188
+- Validation Accuracy Wall: 0.0
+- Validation Accuracy Building: 0.0
+- Validation Accuracy Sky: 0.0016
+- Validation Accuracy Floor: 0.0001
+- Validation Accuracy Tree: 0.0438
+- Validation Accuracy Ceiling: 0.0
+- Validation Accuracy Road: 0.4620
+- Validation Accuracy Bed : 0.0
+- Validation Accuracy Windowpane: 0.0
+- Validation Accuracy Grass: 0.0
+- Validation Accuracy Cabinet: 0.0205
+- Validation Accuracy Sidewalk: 0.0
+- Validation Accuracy Person: nan
+- Validation Accuracy Earth: nan
+- Validation Accuracy Door: nan
+- Validation Accuracy Table: 0.0
+- Validation Accuracy Mountain: 0.0
+- Validation Accuracy Plant: nan
+- Validation Accuracy Curtain: 0.0
+- Validation Accuracy Chair: nan
+- Validation Accuracy Car: 0.0
+- Validation Accuracy Water: 0.0
+- Validation Accuracy Painting: nan
+- Validation Accuracy Sofa: 0.0
+- Validation Accuracy Shelf: 0.0
+- Validation Accuracy House: 0.0
+- Validation Accuracy Sea: 0.0
+- Validation Accuracy Mirror: 0.0
+- Validation Accuracy Rug: 0.0
+- Validation Accuracy Field: 0.0
+- Validation Accuracy Armchair: nan
+- Validation Accuracy Seat: 0.0
+- Validation Accuracy Fence: nan
+- Validation Accuracy Desk: nan
+- Validation Accuracy Rock: nan
+- Validation Accuracy Wardrobe: nan
+- Validation Accuracy Lamp: nan
+- Validation Accuracy Bathtub: 0.0
+- Validation Accuracy Railing: nan
+- Validation Accuracy Cushion: nan
+- Validation Accuracy Base: 0.0
+- Validation Accuracy Box: nan
+- Validation Accuracy Column: nan
+- Validation Accuracy Signboard: nan
+- Validation Accuracy Chest of drawers: nan
+- Validation Accuracy Counter: nan
+- Validation Accuracy Sand: nan
+- Validation Accuracy Sink: 0.0
+- Validation Accuracy Skyscraper: nan
+- Validation Accuracy Fireplace: nan
+- Validation Accuracy Refrigerator: nan
+- Validation Accuracy Grandstand: nan
+- Validation Accuracy Path: nan
+- Validation Accuracy Stairs: nan
+- Validation Accuracy Runway: 0.0
+- Validation Accuracy Case: nan
+- Validation Accuracy Pool table: nan
+- Validation Accuracy Pillow: nan
+- Validation Accuracy Screen door: nan
+- Validation Accuracy Stairway: nan
+- Validation Accuracy River: nan
+- Validation Accuracy Bridge: nan
+- Validation Accuracy Bookcase: nan
+- Validation Accuracy Blind: nan
+- Validation Accuracy Coffee table: nan
+- Validation Accuracy Toilet: nan
+- Validation Accuracy Flower: nan
+- Validation Accuracy Book: nan
+- Validation Accuracy Hill: nan
+- Validation Accuracy Bench: nan
+- Validation Accuracy Countertop: nan
+- Validation Accuracy Stove: nan
+- Validation Accuracy Palm: nan
+- Validation Accuracy Kitchen island: nan
+- Validation Accuracy Computer: nan
+- Validation Accuracy Swivel chair: nan
+- Validation Accuracy Boat: nan
+- Validation Accuracy Bar: nan
+- Validation Accuracy Arcade machine: nan
+- Validation Accuracy Hovel: nan
+- Validation Accuracy Bus: nan
+- Validation Accuracy Towel: nan
+- Validation Accuracy Light: nan
+- Validation Accuracy Truck: 0.0
+- Validation Accuracy Tower: nan
+- Validation Accuracy Chandelier: nan
+- Validation Accuracy Awning: 0.0
+- Validation Accuracy Streetlight: 0.0
+- Validation Accuracy Booth: nan
+- Validation Accuracy Television receiver: nan
+- Validation Accuracy Airplane: 0.0
+- Validation Accuracy Dirt track: nan
+- Validation Accuracy Apparel: nan
+- Validation Accuracy Pole: nan
+- Validation Accuracy Land: nan
+- Validation Accuracy Bannister: nan
+- Validation Accuracy Escalator: nan
+- Validation Accuracy Ottoman: nan
+- Validation Accuracy Bottle: nan
+- Validation Accuracy Buffet: nan
+- Validation Accuracy Poster: 0.0
+- Validation Accuracy Stage: 0.0
+- Validation Accuracy Van: nan
+- Validation Accuracy Ship: nan
+- Validation Accuracy Fountain: nan
+- Validation Accuracy Conveyer belt: nan
+- Validation Accuracy Canopy: nan
+- Validation Accuracy Washer: nan
+- Validation Accuracy Plaything: nan
+- Validation Accuracy Swimming pool: nan
+- Validation Accuracy Stool: nan
+- Validation Accuracy Barrel: nan
+- Validation Accuracy Basket: nan
+- Validation Accuracy Waterfall: nan
+- Validation Accuracy Tent: nan
+- Validation Accuracy Bag: nan
+- Validation Accuracy Minibike: nan
+- Validation Accuracy Cradle: nan
+- Validation Accuracy Oven: nan
+- Validation Accuracy Ball: nan
+- Validation Accuracy Food: nan
+- Validation Accuracy Step: nan
+- Validation Accuracy Tank: nan
+- Validation Accuracy Trade name: nan
+- Validation Accuracy Microwave: nan
+- Validation Accuracy Pot: nan
+- Validation Accuracy Animal: 0.0
+- Validation Accuracy Bicycle: nan
+- Validation Accuracy Lake: nan
+- Validation Accuracy Dishwasher: nan
+- Validation Accuracy Screen: nan
+- Validation Accuracy Blanket: nan
+- Validation Accuracy Sculpture: nan
+- Validation Accuracy Hood: nan
+- Validation Accuracy Sconce: nan
+- Validation Accuracy Vase: 0.0
+- Validation Accuracy Traffic light: 0.0
+- Validation Accuracy Tray: nan
+- Validation Accuracy Ashcan: nan
+- Validation Accuracy Fan: nan
+- Validation Accuracy Pier: 0.0
+- Validation Accuracy Crt screen: nan
+- Validation Accuracy Plate: nan
+- Validation Accuracy Monitor: nan
+- Validation Accuracy Bulletin board: nan
+- Validation Accuracy Shower: nan
+- Validation Accuracy Radiator: nan
+- Validation Accuracy Glass: nan
+- Validation Accuracy Clock: nan
+- Validation Accuracy Flag: nan
+- Validation Iou Wall: 0.0
+- Validation Iou Building: 0.0
+- Validation Iou Sky: 0.0016
+- Validation Iou Floor: 0.0001
+- Validation Iou Tree: 0.0323
+- Validation Iou Ceiling: 0.0
+- Validation Iou Road: 0.1441
+- Validation Iou Bed : 0.0
+- Validation Iou Windowpane: 0.0
+- Validation Iou Grass: 0.0
+- Validation Iou Cabinet: 0.0149
+- Validation Iou Sidewalk: 0.0
+- Validation Iou Person: 0.0
+- Validation Iou Earth: nan
+- Validation Iou Door: nan
+- Validation Iou Table: 0.0
+- Validation Iou Mountain: 0.0
+- Validation Iou Plant: nan
+- Validation Iou Curtain: 0.0
+- Validation Iou Chair: nan
+- Validation Iou Car: 0.0
+- Validation Iou Water: 0.0
+- Validation Iou Painting: nan
+- Validation Iou Sofa: 0.0
+- Validation Iou Shelf: 0.0
+- Validation Iou House: 0.0
+- Validation Iou Sea: 0.0
+- Validation Iou Mirror: 0.0
+- Validation Iou Rug: 0.0
+- Validation Iou Field: 0.0
+- Validation Iou Armchair: nan
+- Validation Iou Seat: 0.0
+- Validation Iou Fence: nan
+- Validation Iou Desk: nan
+- Validation Iou Rock: nan
+- Validation Iou Wardrobe: nan
+- Validation Iou Lamp: nan
+- Validation Iou Bathtub: 0.0
+- Validation Iou Railing: nan
+- Validation Iou Cushion: nan
+- Validation Iou Base: 0.0
+- Validation Iou Box: 0.0
+- Validation Iou Column: nan
+- Validation Iou Signboard: nan
+- Validation Iou Chest of drawers: nan
+- Validation Iou Counter: nan
+- Validation Iou Sand: nan
+- Validation Iou Sink: 0.0
+- Validation Iou Skyscraper: nan
+- Validation Iou Fireplace: nan
+- Validation Iou Refrigerator: nan
+- Validation Iou Grandstand: nan
+- Validation Iou Path: nan
+- Validation Iou Stairs: nan
+- Validation Iou Runway: 0.0
+- Validation Iou Case: nan
+- Validation Iou Pool table: nan
+- Validation Iou Pillow: nan
+- Validation Iou Screen door: 0.0
+- Validation Iou Stairway: nan
+- Validation Iou River: nan
+- Validation Iou Bridge: nan
+- Validation Iou Bookcase: nan
+- Validation Iou Blind: nan
+- Validation Iou Coffee table: nan
+- Validation Iou Toilet: nan
+- Validation Iou Flower: nan
+- Validation Iou Book: nan
+- Validation Iou Hill: nan
+- Validation Iou Bench: nan
+- Validation Iou Countertop: nan
+- Validation Iou Stove: 0.0
+- Validation Iou Palm: nan
+- Validation Iou Kitchen island: nan
+- Validation Iou Computer: nan
+- Validation Iou Swivel chair: nan
+- Validation Iou Boat: nan
+- Validation Iou Bar: nan
+- Validation Iou Arcade machine: 0.0
+- Validation Iou Hovel: nan
+- Validation Iou Bus: nan
+- Validation Iou Towel: nan
+- Validation Iou Light: nan
+- Validation Iou Truck: 0.0
+- Validation Iou Tower: nan
+- Validation Iou Chandelier: nan
+- Validation Iou Awning: 0.0
+- Validation Iou Streetlight: 0.0
+- Validation Iou Booth: nan
+- Validation Iou Television receiver: nan
+- Validation Iou Airplane: 0.0
+- Validation Iou Dirt track: nan
+- Validation Iou Apparel: nan
+- Validation Iou Pole: nan
+- Validation Iou Land: nan
+- Validation Iou Bannister: nan
+- Validation Iou Escalator: nan
+- Validation Iou Ottoman: nan
+- Validation Iou Bottle: nan
+- Validation Iou Buffet: nan
+- Validation Iou Poster: 0.0
+- Validation Iou Stage: 0.0
+- Validation Iou Van: nan
+- Validation Iou Ship: nan
+- Validation Iou Fountain: nan
+- Validation Iou Conveyer belt: nan
+- Validation Iou Canopy: nan
+- Validation Iou Washer: nan
+- Validation Iou Plaything: nan
+- Validation Iou Swimming pool: nan
+- Validation Iou Stool: nan
+- Validation Iou Barrel: nan
+- Validation Iou Basket: nan
+- Validation Iou Waterfall: nan
+- Validation Iou Tent: nan
+- Validation Iou Bag: nan
+- Validation Iou Minibike: nan
+- Validation Iou Cradle: nan
+- Validation Iou Oven: 0.0
+- Validation Iou Ball: nan
+- Validation Iou Food: nan
+- Validation Iou Step: nan
+- Validation Iou Tank: nan
+- Validation Iou Trade name: nan
+- Validation Iou Microwave: nan
+- Validation Iou Pot: nan
+- Validation Iou Animal: 0.0
+- Validation Iou Bicycle: nan
+- Validation Iou Lake: nan
+- Validation Iou Dishwasher: nan
+- Validation Iou Screen: nan
+- Validation Iou Blanket: nan
+- Validation Iou Sculpture: nan
+- Validation Iou Hood: nan
+- Validation Iou Sconce: nan
+- Validation Iou Vase: 0.0
+- Validation Iou Traffic light: 0.0
+- Validation Iou Tray: nan
+- Validation Iou Ashcan: nan
+- Validation Iou Fan: nan
+- Validation Iou Pier: 0.0
+- Validation Iou Crt screen: nan
+- Validation Iou Plate: nan
+- Validation Iou Monitor: nan
+- Validation Iou Bulletin board: nan
+- Validation Iou Shower: 0.0
+- Validation Iou Radiator: nan
+- Validation Iou Glass: nan
+- Validation Iou Clock: nan
+- Validation Iou Flag: nan
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 2000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Wall | Validation Accuracy Building | Validation Accuracy Sky | Validation Accuracy Floor | Validation Accuracy Tree | Validation Accuracy Ceiling | Validation Accuracy Road | Validation Accuracy Bed  | Validation Accuracy Windowpane | Validation Accuracy Grass | Validation Accuracy Cabinet | Validation Accuracy Sidewalk | Validation Accuracy Person | Validation Accuracy Earth | Validation Accuracy Door | Validation Accuracy Table | Validation Accuracy Mountain | Validation Accuracy Plant | Validation Accuracy Curtain | Validation Accuracy Chair | Validation Accuracy Car | Validation Accuracy Water | Validation Accuracy Painting | Validation Accuracy Sofa | Validation Accuracy Shelf | Validation Accuracy House | Validation Accuracy Sea | Validation Accuracy Mirror | Validation Accuracy Rug | Validation Accuracy Field | Validation Accuracy Armchair | Validation Accuracy Seat | Validation Accuracy Fence | Validation Accuracy Desk | Validation Accuracy Rock | Validation Accuracy Wardrobe | Validation Accuracy Lamp | Validation Accuracy Bathtub | Validation Accuracy Railing | Validation Accuracy Cushion | Validation Accuracy Base | Validation Accuracy Box | Validation Accuracy Column | Validation Accuracy Signboard | Validation Accuracy Chest of drawers | Validation Accuracy Counter | Validation Accuracy Sand | Validation Accuracy Sink | Validation Accuracy Skyscraper | Validation Accuracy Fireplace | Validation Accuracy Refrigerator | Validation Accuracy Grandstand | Validation Accuracy Path | Validation Accuracy Stairs | Validation Accuracy Runway | Validation Accuracy Case | Validation Accuracy Pool table | Validation Accuracy Pillow | Validation Accuracy Screen door | Validation Accuracy Stairway | Validation Accuracy River | Validation Accuracy Bridge | Validation Accuracy Bookcase | Validation Accuracy Blind | Validation Accuracy Coffee table | Validation Accuracy Toilet | Validation Accuracy Flower | Validation Accuracy Book | Validation Accuracy Hill | Validation Accuracy Bench | Validation Accuracy Countertop | Validation Accuracy Stove | Validation Accuracy Palm | Validation Accuracy Kitchen island | Validation Accuracy Computer | Validation Accuracy Swivel chair | Validation Accuracy Boat | Validation Accuracy Bar | Validation Accuracy Arcade machine | Validation Accuracy Hovel | Validation Accuracy Bus | Validation Accuracy Towel | Validation Accuracy Light | Validation Accuracy Truck | Validation Accuracy Tower | Validation Accuracy Chandelier | Validation Accuracy Awning | Validation Accuracy Streetlight | Validation Accuracy Booth | Validation Accuracy Television receiver | Validation Accuracy Airplane | Validation Accuracy Dirt track | Validation Accuracy Apparel | Validation Accuracy Pole | Validation Accuracy Land | Validation Accuracy Bannister | Validation Accuracy Escalator | Validation Accuracy Ottoman | Validation Accuracy Bottle | Validation Accuracy Buffet | Validation Accuracy Poster | Validation Accuracy Stage | Validation Accuracy Van | Validation Accuracy Ship | Validation Accuracy Fountain | Validation Accuracy Conveyer belt | Validation Accuracy Canopy | Validation Accuracy Washer | Validation Accuracy Plaything | Validation Accuracy Swimming pool | Validation Accuracy Stool | Validation Accuracy Barrel | Validation Accuracy Basket | Validation Accuracy Waterfall | Validation Accuracy Tent | Validation Accuracy Bag | Validation Accuracy Minibike | Validation Accuracy Cradle | Validation Accuracy Oven | Validation Accuracy Ball | Validation Accuracy Food | Validation Accuracy Step | Validation Accuracy Tank | Validation Accuracy Trade name | Validation Accuracy Microwave | Validation Accuracy Pot | Validation Accuracy Animal | Validation Accuracy Bicycle | Validation Accuracy Lake | Validation Accuracy Dishwasher | Validation Accuracy Screen | Validation Accuracy Blanket | Validation Accuracy Sculpture | Validation Accuracy Hood | Validation Accuracy Sconce | Validation Accuracy Vase | Validation Accuracy Traffic light | Validation Accuracy Tray | Validation Accuracy Ashcan | Validation Accuracy Fan | Validation Accuracy Pier | Validation Accuracy Crt screen | Validation Accuracy Plate | Validation Accuracy Monitor | Validation Accuracy Bulletin board | Validation Accuracy Shower | Validation Accuracy Radiator | Validation Accuracy Glass | Validation Accuracy Clock | Validation Accuracy Flag | Validation Iou Wall | Validation Iou Building | Validation Iou Sky | Validation Iou Floor | Validation Iou Tree | Validation Iou Ceiling | Validation Iou Road | Validation Iou Bed  | Validation Iou Windowpane | Validation Iou Grass | Validation Iou Cabinet | Validation Iou Sidewalk | Validation Iou Person | Validation Iou Earth | Validation Iou Door | Validation Iou Table | Validation Iou Mountain | Validation Iou Plant | Validation Iou Curtain | Validation Iou Chair | Validation Iou Car | Validation Iou Water | Validation Iou Painting | Validation Iou Sofa | Validation Iou Shelf | Validation Iou House | Validation Iou Sea | Validation Iou Mirror | Validation Iou Rug | Validation Iou Field | Validation Iou Armchair | Validation Iou Seat | Validation Iou Fence | Validation Iou Desk | Validation Iou Rock | Validation Iou Wardrobe | Validation Iou Lamp | Validation Iou Bathtub | Validation Iou Railing | Validation Iou Cushion | Validation Iou Base | Validation Iou Box | Validation Iou Column | Validation Iou Signboard | Validation Iou Chest of drawers | Validation Iou Counter | Validation Iou Sand | Validation Iou Sink | Validation Iou Skyscraper | Validation Iou Fireplace | Validation Iou Refrigerator | Validation Iou Grandstand | Validation Iou Path | Validation Iou Stairs | Validation Iou Runway | Validation Iou Case | Validation Iou Pool table | Validation Iou Pillow | Validation Iou Screen door | Validation Iou Stairway | Validation Iou River | Validation Iou Bridge | Validation Iou Bookcase | Validation Iou Blind | Validation Iou Coffee table | Validation Iou Toilet | Validation Iou Flower | Validation Iou Book | Validation Iou Hill | Validation Iou Bench | Validation Iou Countertop | Validation Iou Stove | Validation Iou Palm | Validation Iou Kitchen island | Validation Iou Computer | Validation Iou Swivel chair | Validation Iou Boat | Validation Iou Bar | Validation Iou Arcade machine | Validation Iou Hovel | Validation Iou Bus | Validation Iou Towel | Validation Iou Light | Validation Iou Truck | Validation Iou Tower | Validation Iou Chandelier | Validation Iou Awning | Validation Iou Streetlight | Validation Iou Booth | Validation Iou Television receiver | Validation Iou Airplane | Validation Iou Dirt track | Validation Iou Apparel | Validation Iou Pole | Validation Iou Land | Validation Iou Bannister | Validation Iou Escalator | Validation Iou Ottoman | Validation Iou Bottle | Validation Iou Buffet | Validation Iou Poster | Validation Iou Stage | Validation Iou Van | Validation Iou Ship | Validation Iou Fountain | Validation Iou Conveyer belt | Validation Iou Canopy | Validation Iou Washer | Validation Iou Plaything | Validation Iou Swimming pool | Validation Iou Stool | Validation Iou Barrel | Validation Iou Basket | Validation Iou Waterfall | Validation Iou Tent | Validation Iou Bag | Validation Iou Minibike | Validation Iou Cradle | Validation Iou Oven | Validation Iou Ball | Validation Iou Food | Validation Iou Step | Validation Iou Tank | Validation Iou Trade name | Validation Iou Microwave | Validation Iou Pot | Validation Iou Animal | Validation Iou Bicycle | Validation Iou Lake | Validation Iou Dishwasher | Validation Iou Screen | Validation Iou Blanket | Validation Iou Sculpture | Validation Iou Hood | Validation Iou Sconce | Validation Iou Vase | Validation Iou Traffic light | Validation Iou Tray | Validation Iou Ashcan | Validation Iou Fan | Validation Iou Pier | Validation Iou Crt screen | Validation Iou Plate | Validation Iou Monitor | Validation Iou Bulletin board | Validation Iou Shower | Validation Iou Radiator | Validation Iou Glass | Validation Iou Clock | Validation Iou Flag | Epoch |
+|:----------:|:---------------:|:-------------------:|:------------------------:|:---------------------------:|:------------------------:|:----------------------------:|:-----------------------:|:-------------------------:|:------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-------------------------:|:------------------------:|:-------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:-------------------------:|:-----------------------:|:--------------------------:|:-----------------------:|:-------------------------:|:----------------------------:|:------------------------:|:-------------------------:|:------------------------:|:------------------------:|:----------------------------:|:------------------------:|:---------------------------:|:---------------------------:|:---------------------------:|:------------------------:|:-----------------------:|:--------------------------:|:-----------------------------:|:------------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:--------------------------------:|:------------------------------:|:------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:----------------------------:|:-------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:--------------------------------:|:--------------------------:|:--------------------------:|:------------------------:|:------------------------:|:-------------------------:|:------------------------------:|:-------------------------:|:------------------------:|:----------------------------------:|:----------------------------:|:--------------------------------:|:------------------------:|:-----------------------:|:----------------------------------:|:-------------------------:|:-----------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|:------------------------------:|:--------------------------:|:-------------------------------:|:-------------------------:|:---------------------------------------:|:----------------------------:|:------------------------------:|:---------------------------:|:------------------------:|:------------------------:|:-----------------------------:|:-----------------------------:|:---------------------------:|:--------------------------:|:--------------------------:|:--------------------------:|:-------------------------:|:-----------------------:|:------------------------:|:----------------------------:|:---------------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:---------------------------------:|:-------------------------:|:--------------------------:|:--------------------------:|:-----------------------------:|:------------------------:|:-----------------------:|:----------------------------:|:--------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------:|:------------------------------:|:-----------------------------:|:-----------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------------:|:--------------------------:|:---------------------------:|:-----------------------------:|:------------------------:|:--------------------------:|:------------------------:|:---------------------------------:|:------------------------:|:--------------------------:|:-----------------------:|:------------------------:|:------------------------------:|:-------------------------:|:---------------------------:|:----------------------------------:|:--------------------------:|:----------------------------:|:-------------------------:|:-------------------------:|:------------------------:|:-------------------:|:-----------------------:|:------------------:|:--------------------:|:-------------------:|:----------------------:|:-------------------:|:-------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------------:|:---------------------:|:--------------------:|:-------------------:|:--------------------:|:-----------------------:|:--------------------:|:----------------------:|:--------------------:|:------------------:|:--------------------:|:-----------------------:|:-------------------:|:--------------------:|:--------------------:|:------------------:|:---------------------:|:------------------:|:--------------------:|:-----------------------:|:-------------------:|:--------------------:|:-------------------:|:-------------------:|:-----------------------:|:-------------------:|:----------------------:|:----------------------:|:----------------------:|:-------------------:|:------------------:|:---------------------:|:------------------------:|:-------------------------------:|:----------------------:|:-------------------:|:-------------------:|:-------------------------:|:------------------------:|:---------------------------:|:-------------------------:|:-------------------:|:---------------------:|:---------------------:|:-------------------:|:-------------------------:|:---------------------:|:--------------------------:|:-----------------------:|:--------------------:|:---------------------:|:-----------------------:|:--------------------:|:---------------------------:|:---------------------:|:---------------------:|:-------------------:|:-------------------:|:--------------------:|:-------------------------:|:--------------------:|:-------------------:|:-----------------------------:|:-----------------------:|:---------------------------:|:-------------------:|:------------------:|:-----------------------------:|:--------------------:|:------------------:|:--------------------:|:--------------------:|:--------------------:|:--------------------:|:-------------------------:|:---------------------:|:--------------------------:|:--------------------:|:----------------------------------:|:-----------------------:|:-------------------------:|:----------------------:|:-------------------:|:-------------------:|:------------------------:|:------------------------:|:----------------------:|:---------------------:|:---------------------:|:---------------------:|:--------------------:|:------------------:|:-------------------:|:-----------------------:|:----------------------------:|:---------------------:|:---------------------:|:------------------------:|:----------------------------:|:--------------------:|:---------------------:|:---------------------:|:------------------------:|:-------------------:|:------------------:|:-----------------------:|:---------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------:|:-------------------------:|:------------------------:|:------------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------------:|:---------------------:|:----------------------:|:------------------------:|:-------------------:|:---------------------:|:-------------------:|:----------------------------:|:-------------------:|:---------------------:|:------------------:|:-------------------:|:-------------------------:|:--------------------:|:----------------------:|:-----------------------------:|:---------------------:|:-----------------------:|:--------------------:|:--------------------:|:-------------------:|:-----:|
+| 4.8897     | 4.9843          | 0.0042              | 0.0135                   | 0.0188                      | 0.0                      | 0.0                          | 0.0016                  | 0.0001                    | 0.0438                   | 0.0                         | 0.4620                   | 0.0                      | 0.0                            | 0.0                       | 0.0205                      | 0.0                          | nan                        | nan                       | nan                      | 0.0                       | 0.0                          | nan                       | 0.0                         | nan                       | 0.0                     | 0.0                       | nan                          | 0.0                      | 0.0                       | 0.0                       | 0.0                     | 0.0                        | 0.0                     | 0.0                       | nan                          | 0.0                      | nan                       | nan                      | nan                      | nan                          | nan                      | 0.0                         | nan                         | nan                         | 0.0                      | nan                     | nan                        | nan                           | nan                                  | nan                         | nan                      | 0.0                      | nan                            | nan                           | nan                              | nan                            | nan                      | nan                        | 0.0                        | nan                      | nan                            | nan                        | nan                             | nan                          | nan                       | nan                        | nan                          | nan                       | nan                              | nan                        | nan                        | nan                      | nan                      | nan                       | nan                            | nan                       | nan                      | nan                                | nan                          | nan                              | nan                      | nan                     | nan                                | nan                       | nan                     | nan                       | nan                       | 0.0                       | nan                       | nan                            | 0.0                        | 0.0                             | nan                       | nan                                     | 0.0                          | nan                            | nan                         | nan                      | nan                      | nan                           | nan                           | nan                         | nan                        | nan                        | 0.0                        | 0.0                       | nan                     | nan                      | nan                          | nan                               | nan                        | nan                        | nan                           | nan                               | nan                       | nan                        | nan                        | nan                           | nan                      | nan                     | nan                          | nan                        | nan                      | nan                      | nan                      | nan                      | nan                      | nan                            | nan                           | nan                     | 0.0                        | nan                         | nan                      | nan                            | nan                        | nan                         | nan                           | nan                      | nan                        | 0.0                      | 0.0                               | nan                      | nan                        | nan                     | 0.0                      | nan                            | nan                       | nan                         | nan                                | nan                        | nan                          | nan                       | nan                       | nan                      | 0.0                 | 0.0                     | 0.0016             | 0.0001               | 0.0323              | 0.0                    | 0.1441              | 0.0                 | 0.0                       | 0.0                  | 0.0149                 | 0.0                     | 0.0                   | nan                  | nan                 | 0.0                  | 0.0                     | nan                  | 0.0                    | nan                  | 0.0                | 0.0                  | nan                     | 0.0                 | 0.0                  | 0.0                  | 0.0                | 0.0                   | 0.0                | 0.0                  | nan                     | 0.0                 | nan                  | nan                 | nan                 | nan                     | nan                 | 0.0                    | nan                    | nan                    | 0.0                 | 0.0                | nan                   | nan                      | nan                             | nan                    | nan                 | 0.0                 | nan                       | nan                      | nan                         | nan                       | nan                 | nan                   | 0.0                   | nan                 | nan                       | nan                   | 0.0                        | nan                     | nan                  | nan                   | nan                     | nan                  | nan                         | nan                   | nan                   | nan                 | nan                 | nan                  | nan                       | 0.0                  | nan                 | nan                           | nan                     | nan                         | nan                 | nan                | 0.0                           | nan                  | nan                | nan                  | nan                  | 0.0                  | nan                  | nan                       | 0.0                   | 0.0                        | nan                  | nan                                | 0.0                     | nan                       | nan                    | nan                 | nan                 | nan                      | nan                      | nan                    | nan                   | nan                   | 0.0                   | 0.0                  | nan                | nan                 | nan                     | nan                          | nan                   | nan                   | nan                      | nan                          | nan                  | nan                   | nan                   | nan                      | nan                 | nan                | nan                     | nan                   | 0.0                 | nan                 | nan                 | nan                 | nan                 | nan                       | nan                      | nan                | 0.0                   | nan                    | nan                 | nan                       | nan                   | nan                    | nan                      | nan                 | nan                   | 0.0                 | 0.0                          | nan                 | nan                   | nan                | 0.0                 | nan                       | nan                  | nan                    | nan                           | 0.0                   | nan                     | nan                  | nan                  | nan                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- TensorFlow 2.17.1
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -0,0 +1,374 @@
+{
+  "_name_or_path": "nvidia/mit-b0",
+  "architectures": [
+    "SegformerForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout_prob": 0.1,
+  "decoder_hidden_size": 256,
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsampling_rates": [
+    1,
+    4,
+    8,
+    16
+  ],
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_sizes": [
+    32,
+    64,
+    160,
+    256
+  ],
+  "id2label": {
+    "0": "wall",
+    "1": "building",
+    "2": "sky",
+    "3": "floor",
+    "4": "tree",
+    "5": "ceiling",
+    "6": "road",
+    "7": "bed ",
+    "8": "windowpane",
+    "9": "grass",
+    "10": "cabinet",
+    "11": "sidewalk",
+    "12": "person",
+    "13": "earth",
+    "14": "door",
+    "15": "table",
+    "16": "mountain",
+    "17": "plant",
+    "18": "curtain",
+    "19": "chair",
+    "20": "car",
+    "21": "water",
+    "22": "painting",
+    "23": "sofa",
+    "24": "shelf",
+    "25": "house",
+    "26": "sea",
+    "27": "mirror",
+    "28": "rug",
+    "29": "field",
+    "30": "armchair",
+    "31": "seat",
+    "32": "fence",
+    "33": "desk",
+    "34": "rock",
+    "35": "wardrobe",
+    "36": "lamp",
+    "37": "bathtub",
+    "38": "railing",
+    "39": "cushion",
+    "40": "base",
+    "41": "box",
+    "42": "column",
+    "43": "signboard",
+    "44": "chest of drawers",
+    "45": "counter",
+    "46": "sand",
+    "47": "sink",
+    "48": "skyscraper",
+    "49": "fireplace",
+    "50": "refrigerator",
+    "51": "grandstand",
+    "52": "path",
+    "53": "stairs",
+    "54": "runway",
+    "55": "case",
+    "56": "pool table",
+    "57": "pillow",
+    "58": "screen door",
+    "59": "stairway",
+    "60": "river",
+    "61": "bridge",
+    "62": "bookcase",
+    "63": "blind",
+    "64": "coffee table",
+    "65": "toilet",
+    "66": "flower",
+    "67": "book",
+    "68": "hill",
+    "69": "bench",
+    "70": "countertop",
+    "71": "stove",
+    "72": "palm",
+    "73": "kitchen island",
+    "74": "computer",
+    "75": "swivel chair",
+    "76": "boat",
+    "77": "bar",
+    "78": "arcade machine",
+    "79": "hovel",
+    "80": "bus",
+    "81": "towel",
+    "82": "light",
+    "83": "truck",
+    "84": "tower",
+    "85": "chandelier",
+    "86": "awning",
+    "87": "streetlight",
+    "88": "booth",
+    "89": "television receiver",
+    "90": "airplane",
+    "91": "dirt track",
+    "92": "apparel",
+    "93": "pole",
+    "94": "land",
+    "95": "bannister",
+    "96": "escalator",
+    "97": "ottoman",
+    "98": "bottle",
+    "99": "buffet",
+    "100": "poster",
+    "101": "stage",
+    "102": "van",
+    "103": "ship",
+    "104": "fountain",
+    "105": "conveyer belt",
+    "106": "canopy",
+    "107": "washer",
+    "108": "plaything",
+    "109": "swimming pool",
+    "110": "stool",
+    "111": "barrel",
+    "112": "basket",
+    "113": "waterfall",
+    "114": "tent",
+    "115": "bag",
+    "116": "minibike",
+    "117": "cradle",
+    "118": "oven",
+    "119": "ball",
+    "120": "food",
+    "121": "step",
+    "122": "tank",
+    "123": "trade name",
+    "124": "microwave",
+    "125": "pot",
+    "126": "animal",
+    "127": "bicycle",
+    "128": "lake",
+    "129": "dishwasher",
+    "130": "screen",
+    "131": "blanket",
+    "132": "sculpture",
+    "133": "hood",
+    "134": "sconce",
+    "135": "vase",
+    "136": "traffic light",
+    "137": "tray",
+    "138": "ashcan",
+    "139": "fan",
+    "140": "pier",
+    "141": "crt screen",
+    "142": "plate",
+    "143": "monitor",
+    "144": "bulletin board",
+    "145": "shower",
+    "146": "radiator",
+    "147": "glass",
+    "148": "clock",
+    "149": "flag"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "airplane": 90,
+    "animal": 126,
+    "apparel": 92,
+    "arcade machine": 78,
+    "armchair": 30,
+    "ashcan": 138,
+    "awning": 86,
+    "bag": 115,
+    "ball": 119,
+    "bannister": 95,
+    "bar": 77,
+    "barrel": 111,
+    "base": 40,
+    "basket": 112,
+    "bathtub": 37,
+    "bed ": 7,
+    "bench": 69,
+    "bicycle": 127,
+    "blanket": 131,
+    "blind": 63,
+    "boat": 76,
+    "book": 67,
+    "bookcase": 62,
+    "booth": 88,
+    "bottle": 98,
+    "box": 41,
+    "bridge": 61,
+    "buffet": 99,
+    "building": 1,
+    "bulletin board": 144,
+    "bus": 80,
+    "cabinet": 10,
+    "canopy": 106,
+    "car": 20,
+    "case": 55,
+    "ceiling": 5,
+    "chair": 19,
+    "chandelier": 85,
+    "chest of drawers": 44,
+    "clock": 148,
+    "coffee table": 64,
+    "column": 42,
+    "computer": 74,
+    "conveyer belt": 105,
+    "counter": 45,
+    "countertop": 70,
+    "cradle": 117,
+    "crt screen": 141,
+    "curtain": 18,
+    "cushion": 39,
+    "desk": 33,
+    "dirt track": 91,
+    "dishwasher": 129,
+    "door": 14,
+    "earth": 13,
+    "escalator": 96,
+    "fan": 139,
+    "fence": 32,
+    "field": 29,
+    "fireplace": 49,
+    "flag": 149,
+    "floor": 3,
+    "flower": 66,
+    "food": 120,
+    "fountain": 104,
+    "glass": 147,
+    "grandstand": 51,
+    "grass": 9,
+    "hill": 68,
+    "hood": 133,
+    "house": 25,
+    "hovel": 79,
+    "kitchen island": 73,
+    "lake": 128,
+    "lamp": 36,
+    "land": 94,
+    "light": 82,
+    "microwave": 124,
+    "minibike": 116,
+    "mirror": 27,
+    "monitor": 143,
+    "mountain": 16,
+    "ottoman": 97,
+    "oven": 118,
+    "painting": 22,
+    "palm": 72,
+    "path": 52,
+    "person": 12,
+    "pier": 140,
+    "pillow": 57,
+    "plant": 17,
+    "plate": 142,
+    "plaything": 108,
+    "pole": 93,
+    "pool table": 56,
+    "poster": 100,
+    "pot": 125,
+    "radiator": 146,
+    "railing": 38,
+    "refrigerator": 50,
+    "river": 60,
+    "road": 6,
+    "rock": 34,
+    "rug": 28,
+    "runway": 54,
+    "sand": 46,
+    "sconce": 134,
+    "screen": 130,
+    "screen door": 58,
+    "sculpture": 132,
+    "sea": 26,
+    "seat": 31,
+    "shelf": 24,
+    "ship": 103,
+    "shower": 145,
+    "sidewalk": 11,
+    "signboard": 43,
+    "sink": 47,
+    "sky": 2,
+    "skyscraper": 48,
+    "sofa": 23,
+    "stage": 101,
+    "stairs": 53,
+    "stairway": 59,
+    "step": 121,
+    "stool": 110,
+    "stove": 71,
+    "streetlight": 87,
+    "swimming pool": 109,
+    "swivel chair": 75,
+    "table": 15,
+    "tank": 122,
+    "television receiver": 89,
+    "tent": 114,
+    "toilet": 65,
+    "towel": 81,
+    "tower": 84,
+    "trade name": 123,
+    "traffic light": 136,
+    "tray": 137,
+    "tree": 4,
+    "truck": 83,
+    "van": 102,
+    "vase": 135,
+    "wall": 0,
+    "wardrobe": 35,
+    "washer": 107,
+    "water": 21,
+    "waterfall": 113,
+    "windowpane": 8
+  },
+  "layer_norm_eps": 1e-06,
+  "mlp_ratios": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "model_type": "segformer",
+  "num_attention_heads": [
+    1,
+    2,
+    5,
+    8
+  ],
+  "num_channels": 3,
+  "num_encoder_blocks": 4,
+  "patch_sizes": [
+    7,
+    3,
+    3,
+    3
+  ],
+  "reshape_last_stage": true,
+  "semantic_loss_ignore_index": 255,
+  "sr_ratios": [
+    8,
+    4,
+    2,
+    1
+  ],
+  "strides": [
+    4,
+    2,
+    2,
+    2
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1"
+}

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_normalize": true,
+  "do_reduce_labels": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "SegformerImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 512,
+    "width": 512
+  }
+}

tf_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0920b11a79ef943cc8dc05bc6a0fcb481a43e8908e7d43af243fe4cf98fcd1af
+size 15285696