Dataset Versions

v11

2023-10-06 5:17pm

Generated on Oct 6, 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%
3138Images
Valid Set 8%
297Images
Test Set 4%
146Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -134° and +134°
Saturation: Between -63% and +63%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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