Dataset Versions

v1

2024-05-15 10:49pm

Generated on May 15, 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.
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Dataset Split

Train Set 90%
231Images
Valid Set 6%
16Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Shear: ±26° Horizontal, ±17° Vertical
Brightness: Between -18% and +18%
Blur: Up to 2.5px

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