Dataset Versions

v1

v1

Generated on Oct 27, 2021

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 80%
1531Images
Valid Set 20%
383Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 1
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -10% and +10%
Blur: Up to 2.25px
Noise: Up to 1% of pixels