This object detection model was trained on images from the Open Prices database to detect price tags of products in shops.
It was trained on 200 epochs using Ultralytics library, using yolov11x version, with images resized to 960x960. This model is licensed under the AGPLv3 license.
The model was fine-tuned using the following dataset:
openfoodfacts/price-tag-detection (revision:
v1.2).
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metrics/precision(B): 0.9405504116589396
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metrics/recall(B): 0.8999179655455292
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metrics/mAP50(B): 0.9490994303327694
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metrics/mAP50-95(B): 0.8022528188009798
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fitness: 0.8022528188009798
The model was also evaluated after exporting to ONNX and TensorRT formats. The following metrics were obtained:
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metrics/precision(B): 0.9393607953718663
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metrics/recall(B): 0.9048400328137818
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metrics/mAP50(B): 0.9485645846101123
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metrics/mAP50-95(B): 0.8000803959473284
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fitness: 0.8000803959473284
Most files stored on the repo are standard files created during training with the Ultralytics YOLO library.
