Dataset Versions

v3

2023-08-16 3:43pm

Generated on Aug 16, 2023

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%
1617Images
Valid Set 7%
120Images
Test Set 5%
88Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 20 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 6 boxes with 2% size each
Mosaic: Applied