Dataset Versions

v2

dataset without resize

Generated on Mar 16, 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 87%
12844Images
Valid Set 8%
1224Images
Test Set 4%
620Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Grayscale: Apply to 25% of images
Bounding Box: Blur: Up to 1px