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- Based on dreamfactor/biggest-lego-dataset-600-parts from Kaggle
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Overview
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+
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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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+
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+ ## Limitations
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+
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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).