Dataset Versions

v4

2024-07-23 12:31am

Generated on Jul 23, 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 92%
16750Images
Valid Set 6%
1123Images
Test Set 1%
244Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between 0% and +3%
Exposure: Between -2% and +2%