Dataset Versions

v6

2021-12-09 5:40pm

Generated on Dec 9, 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.
Other Formats
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Dataset Split

Train Set 100%
2376Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±27° Horizontal, ±22° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -49% and +49%
Brightness: Between 0% and +21%
Blur: Up to 5.5px
Noise: Up to 3% of pixels