Dataset Versions

v17

2024-05-29 11:07am

Generated on May 29, 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 88%
11803Images
Valid Set 8%
1129Images
Test Set 4%
557Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 23% of images
Saturation: Between -25% and +25%