Dataset Versions
Versions
2023-11-30 10:41am
v32
· a year ago
2023-11-30 9:47am
v31
· a year ago
2023-11-29 3:56pm
v30
· a year ago
2023-11-29 3:18pm
v29
· a year ago
2023-11-29 11:35am
v28
· a year ago
2023-11-29 10:49am
v27
· a year ago
2023-11-28 5:03pm
v26
· a year ago
2023-11-28 1:39pm
v25
· a year ago
2023-11-28 11:26am
v24
· a year ago
2023-11-28 10:32am
v23
· a year ago
2023-11-28 9:38am
v22
· a year ago
2023-11-27 4:43pm
v21
· a year ago
2023-11-27 2:34pm
v20
· a year ago
2023-11-27 2:29pm
v19
· a year ago
2023-11-27 11:28am
v18
· a year ago
2023-11-27 11:28am
v17
· a year ago
2023-11-27 11:28am
v16
· a year ago
2023-11-27 11:01am
v15
· a year ago
2023-11-27 10:59am
v14
· a year ago
2023-11-27 10:57am
v13
· a year ago
2023-11-27 10:57am
v12
· a year ago
2023-11-27 10:56am
v11
· a year ago
2023-11-27 10:54am
v10
· a year ago
2023-11-24 3:32pm
v9
· a year ago
2023-11-24 3:03pm
v8
· a year ago
2023-11-23 11:02am
v7
· a year ago
2023-11-21 3:55pm
v6
· a year ago
2023-11-21 3:53pm
v5
· a year ago
2023-11-20 11:16pm
v1
· a year ago
v6
2023-11-21 3:55pm
Generated on Nov 21, 2023
2 Total Images
View All Images
Dataset Split
Train Set 100%
2Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images