Dataset Versions
Versions
2023-10-23 3:14pm
v45
· a year ago
2023-10-23 8:51am
v44
· a year ago
2023-10-22 6:22pm
v42
· a year ago
2023-10-22 2:44pm
v39
· a year ago
2023-10-22 2:36pm
v38
· a year ago
2023-10-22 5:48am
v37
· a year ago
2023-10-22 12:15am
v36
· a year ago
2023-10-21 4:26pm
v35
· a year ago
2023-10-21 2:29am
v31
· a year ago
2023-10-20 9:45pm
v30
· a year ago
2023-10-17 2:37pm
v25
· a year ago
2023-10-16 7:26pm
v24
· a year ago
2023-10-15 7:07pm
v23
· a year ago
2023-10-08 1:25pm
v22
· a year ago
2023-10-07 2:00am
v15
· a year ago
2023-09-20 9:17am
v13
· a year ago
2023-08-21 5:16pm
v7
· a year ago
2023-07-31 12:43pm
v1
· a year ago
v7
2023-08-21 5:16pm
Generated on Aug 21, 2023
665 Total Images
View All ImagesDataset Split
Train Set 88%
582Images
Valid Set 6%
43Images
Test Set 6%
40Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -31% and +31%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Noise: Up to 1% of pixels