Dataset Versions
Versions
2023-07-09 6:54pm
v12
· a year ago
2023-07-01 1:47pm
v11
· a year ago
2023-07-01 11:45am
v10
· a year ago
2023-06-25 2:03pm
v9
· a year ago
2023-06-24 3:20pm
v8
· a year ago
2023-06-23 6:46pm
v7
· a year ago
2023-06-22 10:11pm
v6
· 2 years ago
2023-06-20 10:34pm
v5
· 2 years ago
2023-06-20 8:55am
v4
· 2 years ago
2023-06-18 11:35pm
v3
· 2 years ago
2023-06-17 2:26pm
v2
· 2 years ago
2023-06-17 1:12pm
v1
· 2 years ago
v11
2023-07-01 1:47pm
Generated on Jul 1, 2023
1400 Total Images
View All Images
Dataset Split
Train Set 90%
1263Images
Valid Set 6%
87Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -70° and +70°
Mosaic: Applied
Bounding Box: Exposure: Between -25% and +25%