Dataset Versions

v1

2023-05-25 5:57pm

Generated on May 25, 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 87%
708Images
Valid Set 8%
66Images
Test Set 5%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 46% Maximum Zoom
Shear: ±14° Horizontal, ±19° Vertical
Grayscale: Apply to 10% of images
Hue: Between -36° and +36°
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied

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