Segmentation-v1 Image Dataset
Versions
640-v10
v33
Mar 23, 2024
640-v9
v32
Mar 23, 2024
640-v8
v31
Mar 23, 2024
640-v7
v30
Mar 23, 2024
640-v6
v29
Mar 23, 2024
640-v5
v28
Mar 23, 2024
640-v4
v27
Mar 23, 2024
640-v3
v26
Mar 23, 2024
640-v2
v25
Mar 23, 2024
640-v1
v24
Mar 23, 2024
2024-03-18 12:16am
v7
Mar 17, 2024
2024-01-27 4:54pm
v4
Jan 27, 2024
Segmentation-v1
v2
Jan 17, 2024
v33
640-v10
Generated on Mar 23, 2024
3499 Total Images
View All Images
Dataset Split
Train Set 94%
3304Images
Valid Set 4%
130Images
Test Set 2%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
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
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