Dataset Versions

v1

2022-11-28 4:37pm

Generated on Nov 28, 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 89%
84Images
Valid Set 9%
8Images
Test Set 2%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 18-85% Horizontal Region, 22-75% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -58% and +58%
Exposure: Between -25% and +25%
Blur: Up to 2px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%