Dataset Versions

v1

2024-09-04 11:44am

Generated on Sep 4, 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 87%
1032Images
Valid Set 8%
98Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: human
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -10% and +10%

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