Dataset Versions

v3

60-20-20

Generated on Mar 4, 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.
Other Formats
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Dataset Split

Train Set 82%
5592Images
Valid Set 9%
624Images
Test Set 9%
624Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 5% of pixels

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