Dataset Versions
Versions
2eme entrainement
v9
· a year ago
1er entrainement
v8
· a year ago
2023-07-29 12:57am
v7
· a year ago
2023-07-29 12:57am
v6
· a year ago
2023-07-29 12:57am
v5
· a year ago
2023-07-29 12:57am
v4
· a year ago
2023-07-29 12:57am
v3
· a year ago
2023-07-29 12:57am
v2
· a year ago
2023-07-29 12:56am
v1
· a year ago
v3
2023-07-29 12:57am
Generated on Jul 28, 2023
1612 Total Images
View All Images
Dataset Split
Train Set 87%
1407Images
Valid Set 8%
133Images
Test Set 4%
72Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-65% Horizontal Region, 0-29% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -27° and +27°
Grayscale: Apply to 38% of images
Brightness: Between -51% and +51%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 2% of pixels