Dataset Versions

v2

2023-01-26 4:22pm

Generated on Jan 26, 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 84%
1440Images
Valid Set 10%
170Images
Test Set 6%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Hue: Between -98° and +98°
Brightness: Between -29% and +29%
Blur: Up to 2px
Cutout: 2 boxes with 26% size each
Mosaic: Applied
Bounding Box: Shear: ±18° Horizontal, ±19° Vertical
Bounding Box: Noise: Up to 12% of pixels

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