Dataset Versions

v17

2023-07-31 2:46pm

Generated on Jul 31, 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 85%
7344Images
Valid Set 10%
822Images
Test Set 5%
452Images

Preprocessing

Resize: Stretch to 640x640
Modify Classes: 3 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Hue: Between -98° and +98°
Saturation: Between -30% and +30%
Brightness: Between -26% and +26%
Exposure: Between -18% and +18%
Noise: Up to 3% of pixels

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