fall detection Computer Vision Model
948 Total Images
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Dataset Split
Train Set 82%
780Images
Valid Set 13%
118Images
Test Set 5%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 1.68% of pixels