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--- |
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license: cc0-1.0 |
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pipeline_tag: object-detection |
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tags: |
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- lego |
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- brick |
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- bricks |
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--- |
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# Overview |
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The model(s) in this repository are trained with the [dreamfactor/biggest-lego-dataset-600-parts](https://www.kaggle.com/datasets/dreamfactor/biggest-lego-dataset-600-parts) |
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from Kaggle and the [Yolov7](https://github.com/WongKinYiu/yolov7) training script. |
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## Limitations |
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The `zero-shot-1000.pt` was trained in the `lego-training-1000.ipynb` notebook with 1000 images and does not differentiate lego classes but only tries to predict Lego objects. |
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This can be easily reconfigured and retrained in the notebook, but the current implementation leads to many false positives on non-Lego objects and therefore can be improved |
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upon. Also, it could be worth investigating if the metrics improve with a bigger training dataset, as currently only 1000 images are being used (approx. 0.6% of the full |
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dataset). |
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