Dataset Versions

v1

2023-08-04 10:56pm

Generated on Aug 4, 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 84%
21600Images
Valid Set 14%
3600Images
Test Set 2%
540Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 6 rows x 6 columns

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: Rotation: Between -1° and +1°

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