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PathFinderByYolo

Object Detection

PathFinderByYolo Image Dataset

Try Pre-Trained Model
Versions
2023-05-29 5:00pm
v4
May 29, 2023
2023-05-23 4:36pm
v3
May 23, 2023
2023-05-23 8:44am
v2
May 23, 2023
2023-05-02 3:31pm
v1
May 2, 2023
v3

2023-05-23 4:36pm

Generated on May 23, 2023
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Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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71 Total Images

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Dataset Split

Train Set 85%
60Images
Valid Set 7%
5Images
Test Set 8%
6Images

Preprocessing

Auto-Orient: Applied
Static Crop: 32-69% Horizontal Region, 19-82% Vertical Region
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom