Dataset Versions

v9

2024-10-18 2-55pm

Generated on Oct 18, 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.
Other Formats
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Dataset Split

Train Set 72%
3186Images
Valid Set 19%
815Images
Test Set 9%
404Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±8° Vertical
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 0.14% of pixels
Mosaic: Applied