Dataset Versions

v13

v13 960x540

Generated on Jun 30, 2024

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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 70%
4147Images
Valid Set 29%
1700Images
Test Set 1%
50Images

Preprocessing

Resize: Stretch to 960x540

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°

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