CellDetection-seg Computer Vision Dataset
Versions
4392 Total Images
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Dataset Split
Train Set 89%
3909Images
Valid Set 7%
322Images
Test Set 4%
161Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -11° and +11°
Shear: ±8° Horizontal, ±8° Vertical
Brightness: Between -15% and +15%
Blur: Up to 0.2px
Noise: Up to 0.02% of pixels