Dataset Versions

v3

FFB2

Generated on Jun 2, 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 88%
1104Images
Valid Set 8%
105Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -33% and +33%
Brightness: Between -32% and +32%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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