Dataset Versions

v11

2023-01-11 10:34pm

Generated on Jan 11, 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 91%
2127Images
Valid Set 6%
138Images
Test Set 3%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Upside Down
Rotation: Between -25° and +25°
Hue: Between -30° and +30°
Saturation: Between -75% and +75%
Exposure: Between -28% and +28%
Blur: Up to 3.25px
Noise: Up to 15% of pixels
Cutout: 5 boxes with 16% size each

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