Dataset Versions

v1

2022-07-01 12:12pm

Generated on Jul 1, 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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1454 Total Images

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Dataset Split

Train Set 94%
1374Images
Valid Set 6%
80Images
Test Set %
0Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Brightness: Between -5% and +5%
Exposure: Between -3% and +3%
Blur: Up to 1px
Noise: Up to 2% of pixels

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