Dataset Versions

v16

2023-03-27 1:24pm

Generated on Mar 27, 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 96%
8625Images
Valid Set 4%
364Images
Test Set 0%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -140° and +140°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels

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