Dataset Versions
Versions
640-v10
v33
· a year ago
640-v9
v32
· a year ago
640-v8
v31
· a year ago
640-v7
v30
· a year ago
640-v6
v29
· a year ago
640-v5
v28
· a year ago
640-v4
v27
· a year ago
640-v3
v26
· a year ago
640-v2
v25
· a year ago
640-v1
v24
· a year ago
2024-03-18 12:16am
v7
· a year ago
2024-01-27 4:54pm
v4
· a year ago
Segmentation-v1
v2
· a year ago
v7
2024-03-18 12:16am
Generated on Mar 17, 2024
432 Total Images
View All Images
Dataset Split
Train Set 96%
413Images
Valid Set 3%
13Images
Test Set 1%
6Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 7
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Mosaic: Applied