Dataset Versions
Versions
2023-12-26 9:47am
v53
· a year ago
2023-12-25 2:39pm
v52
· a year ago
2023-12-12 11:46am
v51
· a year ago
2023-12-11 9:54am
v50
· a year ago
2023-12-07 3:43pm
v49
· a year ago
2023-12-07 1:36pm
v48
· a year ago
2023-12-07 8:08am
v47
· a year ago
2023-12-06 2:20pm
v46
· a year ago
2023-12-06 9:19am
v45
· a year ago
2023-12-04 11:56am
v44
· a year ago
2023-12-04 11:54am
v43
· a year ago
2023-12-04 9:04am
v42
· a year ago
2023-11-27 8:45am
v41
· a year ago
2023-11-23 12:00pm
v40
· a year ago
2023-11-20 4:36pm
v39
· a year ago
2023-11-20 3:33pm
v38
· a year ago
2023-11-20 10:31am
v37
· a year ago
2023-11-20 10:29am
v36
· a year ago
2023-11-20 10:19am
v35
· a year ago
2023-11-20 9:32am
v34
· a year ago
2023-11-15 2:12pm
v33
· a year ago
2023-11-15 1:22pm
v32
· a year ago
2023-11-15 1:20pm
v31
· a year ago
2023-11-14 11:14am
v30
· a year ago
2023-11-13 10:25am
v29
· a year ago
2023-11-06 10:17am
v28
· a year ago
2023-11-02 3:53pm
v27
· a year ago
2023-10-31 3:09pm
v26
· a year ago
2023-10-31 3:06pm
v25
· a year ago
2023-10-31 10:19am
v24
· a year ago
2023-10-31 10:18am
v23
· a year ago
2023-10-31 8:31am
v22
· a year ago
2023-10-31 8:29am
v21
· a year ago
2023-10-31 8:27am
v20
· a year ago
2023-10-30 10:18am
v19
· a year ago
2023-10-30 9:01am
v18
· a year ago
2023-10-30 8:59am
v17
· a year ago
2023-10-26 3:50pm
v16
· a year ago
2023-10-25 4:16pm
v15
· a year ago
2023-10-25 1:24pm
v14
· a year ago
2023-10-24 3:48pm
v13
· a year ago
2023-10-24 3:38pm
v12
· a year ago
2023-10-24 3:17pm
v11
· a year ago
2023-10-24 10:28am
v10
· a year ago
2023-10-17 9:35am
v9
· a year ago
2023-10-17 9:20am
v8
· a year ago
2023-10-17 8:59am
v5
· a year ago
2023-10-16 4:20pm
v4
· a year ago
2023-10-16 4:19pm
v3
· a year ago
2023-10-16 3:28pm
v2
· a year ago
2023-10-16 11:43am
v1
· a year ago
v4
2023-10-16 4:20pm
Generated on Oct 16, 2023
98 Total Images
View All ImagesDataset Split
Train Set 87%
85Images
Valid Set 7%
7Images
Test Set 6%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal