Dataset Versions
Versions
2023-12-11 1:45pm
v9
· a year ago
2023-12-11 1:29pm
v8
· a year ago
2023-12-10 11:37pm
v7
· a year ago
2023-12-10 8:42pm
v6
· a year ago
2023-12-10 8:39pm
v5
· a year ago
2023-12-10 8:32pm
v4
· a year ago
2023-12-10 6:46pm
v3
· a year ago
2023-12-10 6:41pm
v2
· a year ago
2023-12-10 5:51pm
v1
· a year ago
v9
2023-12-11 1:45pm
Generated on Dec 11, 2023
135 Total Images
View All ImagesDataset Split
Train Set 84%
114Images
Valid Set 4%
6Images
Test Set 11%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Blur: Up to 2.5px