Dataset Versions
Versions
2024-03-26 10:42am
v27
· 9 months ago
2024-03-22 10:53am
v26
· 9 months ago
2024-03-22 10:47am
v25
· 9 months ago
2024-03-21 5:19pm
v24
· 9 months ago
2024-03-21 5:13pm
v23
· 9 months ago
2024-01-26 4:12pm
v22
· a year ago
2023-12-06 11:39am
v21
· a year ago
good results
v20
· a year ago
no good results
v19
· a year ago
2023-12-05 2:45pm
v18
· a year ago
2023-12-05 2:43pm
v17
· a year ago
2023-12-05 2:39pm
v16
· a year ago
2023-12-05 2:37pm
v15
· a year ago
2023-12-05 2:13pm
v14
· a year ago
2023-12-05 2:09pm
v13
· a year ago
2023-12-04 2:41pm
v12
· a year ago
2023-11-20 1:42pm
v11
· a year ago
2023-06-02 4-25pm-max augmentation-
v10
· 2 years ago
2023-06-02 4:22pm
v9
· 2 years ago
2023-06-02 4:19pm
v8
· 2 years ago
2023-06-02 10-40am-good augmentation-good result
v7
· 2 years ago
2023-06-01 10-03am-low augmentation good result-
v6
· 2 years ago
2023-04-25 7:55pm
v5
· 2 years ago
2023-04-25 7:53pm
v4
· 2 years ago
2023-04-25 7:51pm
v3
· 2 years ago
2023-04-25 4:04pm
v2
· 2 years ago
2023-04-24 4:58pm
v1
· 2 years ago
v27
2024-03-26 10:42am
Generated on Mar 26, 2024
1835 Total Images
View All ImagesDataset Split
Train Set 77%
1415Images
Valid Set 12%
218Images
Test Set 11%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.5px
Noise: Up to 1.67% of pixels
Cutout: 10 boxes with 4% size each