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---
license: cc0-1.0
pipeline_tag: object-detection
tags:
- lego
- brick
- bricks
---
# Overview
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)
from Kaggle and the [Yolov7](https://github.com/WongKinYiu/yolov7) training script.
## Limitations
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.
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
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
dataset).
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