Dataset Versions

v1

2023-08-11 3:17pm

Generated on Aug 11, 2023

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 94%
5157Images
Valid Set 4%
207Images
Test Set 2%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -35% and +35%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 6% of pixels

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