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
v9
2eme entrainement
Generated on Jul 31, 2023
389 Total Images
View All Images
Dataset Split
Train Set 88%
342Images
Valid Set 8%
31Images
Test Set 4%
16Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Rotation: Between -11° and +11°
Grayscale: Apply to 21% of images
Brightness: Between -51% and +51%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels