Dataset Versions

v1

modified

Generated on Dec 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 100%
15573Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -40% and +40%
Exposure: Between -30% and +30%
Blur: Up to 2px
Noise: Up to 15% of pixels
Cutout: 4 boxes with 35% size each
Mosaic: Applied