FaceRecognition

Face recognition

Object Detection

Face recognition Image Dataset

v2

2024-05-20 7:55pm

Generated on May 21, 2024

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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%
684Images
Valid Set 8%
65Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 2% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -4° and +4°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 1.25% of pixels