Dataset Versions

v2

2024-10-03 3:06am

Generated on Oct 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 88%
6636Images
Valid Set 7%
566Images
Test Set 5%
356Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Exposure: Between -29% and +29%
Blur: Up to 1.5px
Cutout: 6 boxes with 10% size each

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