Dataset Versions
Versions
2023-12-06 1:56pm
v25
· a year ago
2023-12-06 1:56pm
v24
· a year ago
2023-12-06 1:56pm
v23
· a year ago
2023-12-06 1:56pm
v22
· a year ago
2023-12-06 1:56pm
v21
· a year ago
2023-12-06 1:56pm
v20
· a year ago
2023-12-06 1:56pm
v19
· a year ago
2023-12-06 1:56pm
v18
· a year ago
2023-12-06 1:56pm
v17
· a year ago
2023-12-06 1:55pm
v16
· a year ago
2023-12-06 1:55pm
v15
· a year ago
2023-12-06 10:06am
v14
· a year ago
2023-12-06 10:06am
v13
· a year ago
2023-12-06 10:06am
v12
· a year ago
2023-12-06 10:06am
v11
· a year ago
2023-12-06 9:52am
v10
· a year ago
2023-12-06 9:52am
v9
· a year ago
2023-12-06 9:52am
v8
· a year ago
2023-12-06 9:52am
v7
· a year ago
2023-12-06 9:52am
v6
· a year ago
2023-12-06 9:52am
v5
· a year ago
2023-12-06 9:52am
v4
· a year ago
2023-12-06 9:52am
v3
· a year ago
2023-12-06 9:52am
v2
· a year ago
2023-12-06 9:51am
v1
· a year ago
v25
2023-12-06 1:56pm
Generated on Dec 6, 2023
54 Total Images
View All Images
Dataset Split
Train Set 100%
54Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 2% of images
Hue: Between -3° and +3°
Saturation: Between -2% and +2%
Brightness: Between -1% and +1%
Exposure: Between -4% and +4%
Blur: Up to 0.5px
Noise: Up to 1% of pixels