Dataset Versions

v1

wally

Generated on Nov 14, 2021

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 93%
42Images
Valid Set 7%
3Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -17% and +17%
Blur: Up to 4.5px
Noise: Up to 3% of pixels

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