Dataset Versions

v19

2024-05-24 1:34pm

Generated on May 24, 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 64%
3400Images
Valid Set 19%
991Images
Test Set 17%
925Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Brightness: Between -5% and +5%
Blur: Up to 1px