Dataset Versions

v9

2024-12-09 12:34am

Generated on Dec 8, 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 68%
524Images
Valid Set 16%
126Images
Test Set 16%
126Images

Preprocessing

Static Crop: 11-98% Horizontal Region, 0-89% Vertical Region
Resize: Fill (with center crop) in 1920x1080

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Upside Down
Rotation: Between -10° and +10°

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