Thermography

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Face Recognition

Object Detection

Face Recognition Image Dataset

Versions
Shear- -10- Horizontal- -10- Vertical
v13
Feb 14, 2024
Rotation- Between -15- and -15-
v12
Feb 14, 2024
Flip- Horizontal- Vertical
v11
Feb 14, 2024
90- Rotate- Clockwise- Counter-Clockwise- Upside Down
v10
Feb 14, 2024
Blur- Up to 1px
v9
Feb 14, 2024
Crop- 0- Minimum Zoom- 40- Maximum Zoom
v8
Feb 14, 2024
Brightness- Between -25- and -25-
v7
Feb 14, 2024
Saturation- Between -30- and -30-
v6
Feb 14, 2024
Hue- Between -30- and -30-
v5
Feb 14, 2024
Hue- Between -15- and -15-
v4
Feb 14, 2024
Grayscale
v3
Feb 14, 2024
Cutout
v2
Feb 14, 2024
No augmentations were applied
v1
Feb 10, 2024
v13

Shear- -10- Horizontal- -10- Vertical

Generated on Feb 14, 2024
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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4899 Total Images

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Dataset Split

Train Set 87%
4277Images
Valid Set 8%
409Images
Test Set 4%
213Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical