Dataset Versions

v8

augmented

Generated on Jun 3, 2024

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 75%
9170Images
Valid Set 12%
1496Images
Test Set 12%
1486Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

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

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