Dataset Versions
Versions
2023-10-18 3:24pm
v11
· a year ago
2023-10-11 1:22pm
v10
· a year ago
2023-10-04 1:27pm
v9
· a year ago
2023-09-16 8:11pm
v8
· a year ago
2023-09-14 4:52pm
v7
· a year ago
2023-09-12 1:39pm
v6
· a year ago
2023-09-12 12:39pm
v5
· a year ago
2023-09-07 12:48pm
v4
· a year ago
2023-09-01 1:15pm
v3
· a year ago
2023-08-30 11:51am
v2
· a year ago
2023-08-22 8:06pm
v1
· a year ago
v5
2023-09-12 12:39pm
Generated on Sep 12, 2023
2829 Total Images
View All Images
Dataset Split
Train Set 100%
2829Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -27% and +27%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels