Dataset Versions

v1

2023-08-07 5:17am

Generated on Aug 7, 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.
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Dataset Split

Train Set 85%
15300Images
Valid Set 13%
2350Images
Test Set 2%
400Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 5 rows x 5 columns

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: Rotation: Between -3° and +3°

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