Dataset Versions

v4

2024-05-20 8:50pm

Generated on May 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 94%
1134Images
Valid Set 2%
30Images
Test Set 3%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 2048x2048

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Brightness: Between -29% and +29%
Exposure: Between -20% and +20%

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