Dataset Versions

v1

blp_text_v1

Generated on Jun 6, 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 75%
4446Images
Valid Set 14%
826Images
Test Set 11%
660Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±35° Horizontal, ±35° Vertical
Brightness: Between -59% and +59%
Exposure: Between -40% and +40%
Blur: Up to 2.25px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 6% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 1% of pixels