Dataset Versions

v1

2022-05-18 11:49am

Generated on May 18, 2022

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 88%
1344Images
Valid Set 8%
127Images
Test Set 4%
63Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -10° and +10°
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 7.5px
Noise: Up to 3% of pixels
Cutout: 3 boxes with 10% size each