Dataset Versions

v9

2024-07-07 5:57am

Generated on Jul 7, 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.
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Dataset Split

Train Set 88%
6435Images
Valid Set 8%
613Images
Test Set 4%
306Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fill (with center crop) in 320x320

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -11% and +11%

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