Dataset Versions

v26

2024-03-20 1:02am

Generated on Mar 20, 2024

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 98%
15650Images
Valid Set 1%
197Images
Test Set 0%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 620x620

Augmentations

Outputs per training example: 50
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%

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