Dataset Versions

v5

2023-08-06 8:16pm

Generated on Aug 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 88%
966Images
Valid Set 8%
91Images
Test Set 4%
45Images

Preprocessing

Resize: Stretch to 640x520
Modify Classes: 26 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±39° Horizontal, ±11° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.5px

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