Dataset Versions

v1

DataSet

Generated on Feb 24, 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.
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Dataset Split

Train Set 85%
78Images
Valid Set 9%
8Images
Test Set 7%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -29° and +29°
Shear: ±30° Horizontal, ±26° Vertical
Brightness: Between -69% and +69%
Blur: Up to 17.25px
Noise: Up to 25% of pixels
Cutout: 21 boxes with 78% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%