Dataset Versions

v2

2024-06-21 9:11am

Generated on Jun 21, 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 92%
498Images
Valid Set 4%
24Images
Test Set 3%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±15° Vertical
Saturation: Between -28% and +28%
Noise: Up to 1.72% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Exposure: Between -9% and +9%