Dataset Versions

v7

2022-07-19 7:26pm

Generated on Jul 19, 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%
693Images
Valid Set 7%
54Images
Test Set 5%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -2° and +2°
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -14% and +14%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 4% of pixels
Cutout: 5 boxes with 3% size each