SA Dataset(Whole/Diff Clothes & Lighting/Full Head)

Object Detection

Dataset Versions

v1

1st

Generated on May 14, 2023

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%
1524Images
Valid Set 8%
145Images
Test Set 4%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 10% of images
Hue: Between -35° and +35°
Saturation: Between -65% and +65%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels