Dataset Versions

v4

2024-05-27 10:27pm

Generated on May 27, 2024

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 83%
309Images
Valid Set 12%
43Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 17% of images
Saturation: Between -32% and +32%
Exposure: Between -12% and +12%
Blur: Up to 1.1px
Noise: Up to 0.34% of pixels