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V2 was done as a result of me noticing that I mislabeled my training/validation folders (i.e. my training folder was actually my validation folder, and vice-versa). So, I renamed the folders to what they're supposed to be, and I migrated a few of the images from the validation folder into the training folder, and added ~160 new images into the training dataset. I set the epochs for 200, but it determined that epoch no.
148 was the best, so this is what it is.

All the images below were detected with this version 2 model.

![ダウンロード (1).png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/B28p5uW2-AE4PvLVeNTxq.png)
![ダウンロード (2).png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/_eNtBbfxeQA6tZMd8-Zka.png)

![previewv2A.png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/ourTjQBC_8OCyTTrebLX2.png)
![ダウンロード.png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/LQdD1E7if_iu30-WSgPP8.png)

![previewv2.png](https://cdn-uploads.huggingface.co/production/uploads/64321f3971bf2c8bcf6e7b74/eLkAt8ylfLLpGBkuaCdun.png)

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