Dataset Versions

v1

2023-09-13 2:18am

Generated on Sep 12, 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 87%
2061Images
Valid Set 8%
197Images
Test Set 4%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -32° and +32°
Shear: ±27° Horizontal, ±0° Vertical
Grayscale: Apply to 7% of images
Hue: Between -14° and +14°
Saturation: Between -10% and +10%
Brightness: Between -32% and +32%
Exposure: Between -29% and +29%
Blur: Up to 2.75px
Noise: Up to 2% of pixels
Mosaic: Applied

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