Dataset Versions

v3

2023-02-16 12:27pm

Generated on Feb 16, 2023

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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Dataset Split

Train Set 87%
2694Images
Valid Set 8%
258Images
Test Set 4%
127Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -41° and +41°
Brightness: Between -18% and +18%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied

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