Dataset Versions

v4

resized640x640_aug3x

Generated on Dec 28, 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.
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Dataset Split

Train Set 87%
8139Images
Valid Set 8%
770Images
Test Set 4%
403Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.75px
Cutout: 5 boxes with 3% size each