Dataset Versions

v2

training dataset

Generated on Apr 14, 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 90%
13113Images
Valid Set 6%
887Images
Test Set 4%
544Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -31% and +31%
Exposure: Between -20% and +20%
Bounding Box: Noise: Up to 3% of pixels