Dataset Versions

v3

2023-11-19 11:59pm

Generated on Nov 19, 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 88%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 58% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±22° Vertical
Grayscale: Apply to 56% of images
Hue: Between -86° and +86°
Saturation: Between -55% and +55%
Brightness: Between -43% and +43%
Exposure: Between -38% and +38%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 12% size each