Dataset Versions

v2

Train_test

Generated on Feb 27, 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 92%
5526Images
Valid Set %
0Images
Test Set 8%
463Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -11° and +11°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 3% of pixels

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