Dataset Versions

v3

2022-10-13 7:00pm

Generated on Oct 13, 2022

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 70%
641Images
Valid Set 19%
175Images
Test Set 11%
102Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 95 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Rotation: Between -15° and +15°
Brightness: Between -49% and +49%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical