POOP_SR Dataset
Versions
2024-03-09 10:20am
v9
· 6 months ago
2024-03-02 10:53pm
v8
· 7 months ago
2024-03-02 10:53pm
v7
· 7 months ago
2024-02-24 10:58pm
v6
· 7 months ago
2023-10-30 10:19am
v5
· a year ago
2023-10-27 11:40pm
v4
· a year ago
2023-10-23 10:59pm
v3
· a year ago
2023-10-23 7:22pm
v2
· a year ago
2023-08-13 11:12am
v1
· a year ago
v4
2023-10-27 11:40pm
Generated on Oct 27, 2023
4571 Total Images
View All Images
Dataset Split
Train Set 87%
3990Images
Valid Set 8%
381Images
Test Set 4%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 12% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 19% Maximum Zoom
Bounding Box: Noise: Up to 5% of pixels