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@@ -16,7 +16,7 @@ YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It
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  ## Model description
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- This model has been finetuned on the following [crowd-detection dataset](https://universe.roboflow.com/institut-teknologi-nasional-bandung-mxgtc/crowd-detection-i75bl) with the following results on the test set:
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  ```
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  IoU metric: bbox
@@ -64,7 +64,7 @@ Refer to the [documentation](https://huggingface.co/docs/transformers/main/en/mo
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  ## Intended uses & limitations
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- This fine-tuned model performs best when detecting individuals who are relatively close (but not too close) to the viewpoint. As indicated by the metrics, it struggles to identify individuals farther away.
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  ### Training hyperparameters
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  ## Model description
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+ This model has been finetuned on the following [crowd-detection dataset](https://universe.roboflow.com/institut-teknologi-nasional-bandung-mxgtc/crowd-detection-i75bl) (669 samples) with the following results on the test set:
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  ```
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  IoU metric: bbox
 
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  ## Intended uses & limitations
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+ This model is more of an experiment on a small scale and will need retraining on a more diverse dataset. This fine-tuned model performs best when detecting individuals who are relatively close (but not too close) to the viewpoint. As indicated by the metrics, it struggles to identify individuals farther away.
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  ### Training hyperparameters
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