Dataset Versions

v21

416

Generated on Dec 11, 2023

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 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 3% of pixels
Mosaic: Applied