Dataset Versions

v19

2023-09-28 8:20am

Generated on Sep 28, 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%
1563Images
Valid Set 8%
148Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -3% and +3%
Exposure: Between -3% and +3%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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