Dataset Versions

v3

Wolfs stage 3 HD

Generated on Jul 30, 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.
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Dataset Split

Train Set 80%
990Images
Valid Set 19%
230Images
Test Set 1%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1280x720

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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