Dataset Versions

v2

2022-12-16 9:10pm

Generated on Dec 16, 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 87%
840Images
Valid Set 6%
56Images
Test Set 7%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 5 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -25% and +25%
Noise: Up to 7% of pixels
Cutout: 3 boxes with 10% size each

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