Dataset Versions
Versions
2023-04-07 9:07pm
v20
· 2 years ago
2023-04-07 9:06pm
v19
· 2 years ago
2023-04-07 9:05pm
v18
· 2 years ago
2023-04-07 8:43pm
v17
· 2 years ago
2023-04-07 8:40pm
v16
· 2 years ago
2023-04-07 8:36pm
v15
· 2 years ago
2023-04-07 8:32pm
v14
· 2 years ago
2023-04-07 8:30pm
v13
· 2 years ago
2023-04-07 8:26pm
v12
· 2 years ago
2023-04-07 8:24pm
v11
· 2 years ago
2023-04-07 8:22pm
v10
· 2 years ago
2023-04-07 8:21pm
v9
· 2 years ago
2023-04-07 8:20pm
v8
· 2 years ago
2023-04-07 8:18pm
v7
· 2 years ago
2023-04-07 8:17pm
v6
· 2 years ago
2023-04-07 8:15pm
v5
· 2 years ago
2023-04-07 8:06pm
v4
· 2 years ago
2023-04-07 8:01pm
v3
· 2 years ago
2023-04-07 8:00pm
v2
· 2 years ago
2023-04-07 7:57pm
v1
· 2 years ago
v20
2023-04-07 9:07pm
Generated on Apr 7, 2023
588 Total Images
View All Images
Dataset Split
Train Set 97%
570Images
Valid Set %
0Images
Test Set 3%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 5% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Cutout: 3 boxes with 10% size each