Dataset Versions

v9

V9

Generated on Jun 27, 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 94%
19043Images
Valid Set 6%
1134Images
Test Set 0%
74Images

Preprocessing

Resize: Stretch to 352x224

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Saturation: Between -7% and +7%
Brightness: Between -7% and +7%
Exposure: Between -7% and +7%

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