Dataset Versions

v6

2021-12-04 6:51pm

Generated on Dec 4, 2021

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 87%
2084Images
Valid Set 8%
200Images
Test Set 4%
100Images

Preprocessing

Static Crop: 19-65% Horizontal Region, 4-54% Vertical Region
Resize: Fill (with center crop) in 1500x1500

Augmentations

Outputs per training example: 3
Flip: Vertical
Rotation: Between -45° and +45°

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