Dataset Versions
Versions
2023-09-26 12:30pm
v11
· a year ago
2023-09-26 12:05pm
v10
· a year ago
2023-09-26 12:03pm
v9
· a year ago
2023-09-26 10:07am
v8
· a year ago
2023-09-26 10:05am
v7
· a year ago
2023-09-25 6:19pm
v6
· a year ago
2023-09-25 5:37pm
v5
· a year ago
2023-09-25 5:35pm
v4
· a year ago
2023-09-25 5:33pm
v3
· a year ago
2023-09-25 5:25pm
v2
· a year ago
2023-09-25 4:14pm
v1
· a year ago
v7
2023-09-26 10:05am
Generated on Sep 26, 2023
353 Total Images
View All Images
Dataset Split
Train Set 88%
309Images
Valid Set 8%
29Images
Test Set 4%
15Images
Preprocessing
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -68° and +68°
Blur: Up to 5px
Noise: Up to 10% of pixels