Dataset Versions

v1

2024-03-21 4:13pm

Generated on Mar 21, 2024

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 95%
22184Images
Valid Set 3%
812Images
Test Set 2%
407Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 4
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Shear: ±18° Horizontal, ±27° Vertical
Brightness: Between -37% and +37%
Exposure: Between -22% and +22%
Blur: Up to 3.8px
Noise: Up to 3.47% of pixels

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