This object detection model was fine-tuned using the Ultralytics YOLO library.
The model was fine-tuned using the following dataset:
openfoodfacts/universal-logo-detector (revision:
v1.4).
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metrics/precision(B): 0.8570181840729786
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metrics/recall(B): 0.7192719092719092
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metrics/mAP50(B): 0.8371955004759525
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metrics/mAP50-95(B): 0.6379071854832687
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fitness: 0.6379071854832687
The model was also evaluated after exporting to ONNX and TensorRT formats. The following metrics were obtained:
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metrics/precision(B): 0.8934595473774011
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metrics/recall(B): 0.68
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metrics/mAP50(B): 0.8107887350032505
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metrics/mAP50-95(B): 0.6517839531367096
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fitness: 0.6517839531367096
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metrics/precision(B): 0.893459487354923
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metrics/recall(B): 0.68
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metrics/mAP50(B): 0.8107887350032505
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metrics/mAP50-95(B): 0.6517839531367096
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fitness: 0.6517839531367096
Most files stored on the repo are standard files created during training with the Ultralytics YOLO library.
