Dataset Versions

v10

HTR_v9

Generated on Jul 8, 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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Dataset Split

Train Set 93%
1137Images
Valid Set 6%
68Images
Test Set 2%
20Images

Preprocessing

Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 50% of images
Brightness: Between -6% and +6%
Noise: Up to 3% of pixels

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