| library_name: transformers | |
| tags: | |
| - autotrain | |
| - object-detection | |
| - vision | |
| base_model: microsoft/table-transformer-detection | |
| widget: | |
| - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg | |
| example_title: Tiger | |
| - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg | |
| example_title: Teapot | |
| - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg | |
| example_title: Palace | |
| datasets: | |
| - bortle/ap_obj_dataset | |
| # Model Trained Using AutoTrain | |
| - Problem type: Object Detection | |
| ## Validation Metrics | |
| loss: 5.052831649780273 | |
| map: 0.0 | |
| map_50: 0.0 | |
| map_75: 0.0 | |
| map_small: -1.0 | |
| map_medium: -1.0 | |
| map_large: 0.0 | |
| mar_1: 0.0 | |
| mar_10: 0.0 | |
| mar_100: 0.0 | |
| mar_small: -1.0 | |
| mar_medium: -1.0 | |
| mar_large: 0.0 | |