Add all but model weights

.gitattributes

@@ -33,3 +33,27 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+images/fish_2.png filter=lfs diff=lfs merge=lfs -text
+images/flat_fish.png filter=lfs diff=lfs merge=lfs -text
+images/flat_red_fish.png filter=lfs diff=lfs merge=lfs -text
+images/red_fish.png filter=lfs diff=lfs merge=lfs -text
+images/scene_2.png filter=lfs diff=lfs merge=lfs -text
+images/scene_5.png filter=lfs diff=lfs merge=lfs -text
+images/fish_4.png filter=lfs diff=lfs merge=lfs -text
+images/red_fish_2.png filter=lfs diff=lfs merge=lfs -text
+images/scene_4.png filter=lfs diff=lfs merge=lfs -text
+images/scene_6.png filter=lfs diff=lfs merge=lfs -text
+images/soft_coral.png filter=lfs diff=lfs merge=lfs -text
+images/starfish_2.png filter=lfs diff=lfs merge=lfs -text
+images/fish_3.png filter=lfs diff=lfs merge=lfs -text
+images/scene_3.png filter=lfs diff=lfs merge=lfs -text
+images/scene.png filter=lfs diff=lfs merge=lfs -text
+images/starfish.png filter=lfs diff=lfs merge=lfs -text
+images/crab.png filter=lfs diff=lfs merge=lfs -text
+images/fish_5.png filter=lfs diff=lfs merge=lfs -text
+images/fish.png filter=lfs diff=lfs merge=lfs -text
+images/jelly_2.png filter=lfs diff=lfs merge=lfs -text
+images/jelly_3.png filter=lfs diff=lfs merge=lfs -text
+images/jelly.png filter=lfs diff=lfs merge=lfs -text
+images/puff.png filter=lfs diff=lfs merge=lfs -text
+yolov8m.pt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,6 +1,6 @@
 ---
-title: Fathomnet2023 Comp Baseline
-emoji: 😻
+title: FathomNet2023 Competition Baseline
+emoji: 📊
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -9,5 +9,3 @@ app_file: app.py
 pinned: false
 license: cc-by-4.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,36 @@
+import glob
+import gradio as gr
+from ultralytics import YOLO
+
+model_path = "yolov8m.pt"
+model = YOLO(model_path)
+
+
+def run(image_path):
+    results = model.predict(image_path)
+    return results[0].plot()[:, :, ::-1]  # reverse channels for gradio
+
+
+title = "MBARI Monterey Bay Benthic"
+description = (
+    "Gradio demo for the FathomNet2023 Baseline Model: Developed by researchers"
+    " at the Monterey Bay Aquarium Research Institute (MBARI) to serve as a"
+    " baseline YOLOv8m model for the FathomNet2023 Kaggle Competition, in"
+    " conjunction with the Fine Grained Visual Categorization workshop at CVPR"
+    " 2023. The training dataset comprises both the FathomNet2023 competition"
+    " split and internal MBARI data, including 290 fine-grained taxonomic"
+    " categories of benthic animals."
+)
+
+examples = glob.glob("images/*.png")
+
+interface = gr.Interface(
+    run,
+    inputs=[gr.components.Image(type="filepath")],
+    outputs=gr.components.Image(type="numpy"),
+    title=title,
+    description=description,
+    examples=examples,
+)
+
+interface.queue().launch()

requirements.txt

@@ -0,0 +1 @@
+ultralytics==8.0.158