Dataset Versions

v10

2024-05-12 11:41pm

Generated on May 12, 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.
Other Formats
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Dataset Split

Train Set 93%
9888Images
Valid Set 5%
510Images
Test Set 3%
278Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Saturation: Between -10% and +10%
Brightness: Between 0% and +20%
Exposure: Between -10% and +10%

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