person segmentation Dataset
Versions
2023-07-19 12:03pm
v15
· a year ago
2023-07-19 11:39am
v14
· a year ago
2023-07-19 10:29am
v7
· a year ago
2023-07-12 11:20am
v6
· a year ago
2023-07-12 10:20am
v5
· a year ago
2023-07-11 12:02pm
v4
· a year ago
2023-07-11 11:28am
v3
· a year ago
2023-07-11 11:26am
v2
· a year ago
2023-07-10 8:27pm
v1
· a year ago
v4
2023-07-11 12:02pm
Generated on Jul 11, 2023
511 Total Images
View All Images
Dataset Split
Train Set 89%
456Images
Valid Set 7%
36Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°