Dataset Versions

v3

2024-02-28 11:57pm

Generated on Feb 28, 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 97%
27324Images
Valid Set 3%
757Images
Test Set 0%
92Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-95% Horizontal Region, 14-75% Vertical Region
Dynamic Crop: Class: person
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -11° and +11°

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