Dataset Versions

v12

2023-05-23 7:28am

Generated on May 23, 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.
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Dataset Split

Train Set 92%
10980Images
Valid Set 5%
604Images
Test Set 3%
329Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 7 boxes with 3% size each

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