qubvel-hf
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debug_no_pad

Object Detection

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Inference Endpoints

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qubvel-hf HF staff commited on May 29

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End of training

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@@ -14,29 +14,29 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [sbchoi/rtdetr_r50vd_coco_o365](https://huggingface.co/sbchoi/rtdetr_r50vd_coco_o365) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 13.1506
-- Map: 0.2026
-- Map 50: 0.4492
-- Map 75: 0.1638
-- Map Small: 0.0726
-- Map Medium: 0.1655
-- Map Large: 0.2732
-- Mar 1: 0.2221
-- Mar 10: 0.3782
-- Mar 100: 0.4312
-- Mar Small: 0.1892
-- Mar Medium: 0.3446
-- Mar Large: 0.5587
-- Map Coverall: 0.2662
-- Mar 100 Coverall: 0.5721
-- Map Face Shield: 0.1827
-- Mar 100 Face Shield: 0.519
-- Map Gloves: 0.2317
-- Mar 100 Gloves: 0.3991
-- Map Goggles: 0.1477
-- Mar 100 Goggles: 0.2938
-- Map Mask: 0.1846
-- Mar 100 Mask: 0.372
 ## Model description

 This model is a fine-tuned version of [sbchoi/rtdetr_r50vd_coco_o365](https://huggingface.co/sbchoi/rtdetr_r50vd_coco_o365) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 11.7188
+- Map: 0.2736
+- Map 50: 0.5376
+- Map 75: 0.2345
+- Map Small: 0.0676
+- Map Medium: 0.2622
+- Map Large: 0.3783
+- Mar 1: 0.2586
+- Mar 10: 0.457
+- Mar 100: 0.5147
+- Mar Small: 0.1125
+- Mar Medium: 0.4717
+- Mar Large: 0.5986
+- Map Coverall: 0.2102
+- Mar 100 Coverall: 0.5846
+- Map Face Shield: 0.3488
+- Mar 100 Face Shield: 0.6824
+- Map Gloves: 0.3656
+- Mar 100 Gloves: 0.5271
+- Map Goggles: 0.1612
+- Mar 100 Goggles: 0.3345
+- Map Mask: 0.2823
+- Mar 100 Mask: 0.4451
 ## Model description