Dataset Versions

v2

2023-08-29 11:19am

Generated on Aug 29, 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.
Other Formats
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Dataset Split

Train Set 92%
948Images
Valid Set 6%
63Images
Test Set 2%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±34° Horizontal, ±23° Vertical
Grayscale: Apply to 73% of images
Saturation: Between -60% and +60%
Brightness: Between -64% and +64%
Exposure: Between -28% and +28%
Blur: Up to 4.5px
Noise: Up to 11% of pixels
Cutout: 21 boxes with 5% size each
Mosaic: Applied