Dataset Versions

v12

2023-09-16 6:40pm

Generated on Sep 16, 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 88%
18900Images
Valid Set 8%
1680Images
Test Set 4%
900Images

Preprocessing

Auto-Orient: Applied
Tile: 4 rows x 3 columns

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -16% and +16%
Exposure: Between -9% and +9%
Blur: Up to 2.5px
Noise: Up to 2% of pixels

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