Road Network Image Dataset
Versions
2024-04-19 7:51pm
v16
Apr 19, 2024
2024-04-16 8:29pm
v15
Apr 16, 2024
2024-04-16 7:30pm
v14
Apr 16, 2024
2024-03-26 5:00pm
v13
Mar 26, 2024
2024-01-09 12:00am
v12
Jan 8, 2024
2024-01-08 11:10pm
v11
Jan 8, 2024
2024-01-07 10:23pm
v10
Jan 7, 2024
2024-01-07 10:14pm
v9
Jan 7, 2024
2024-01-07 9:22pm
v8
Jan 7, 2024
2023-12-30 10:04am
v7
Dec 30, 2023
2023-12-30 9:49am
v6
Dec 30, 2023
2023-12-27 2:16pm
v5
Dec 27, 2023
2023-12-27 2:07pm
v4
Dec 27, 2023
2023-12-25 1:13pm
v3
Dec 25, 2023
2023-12-22 12:54pm
v2
Dec 22, 2023
2023-12-22 12:05pm
v1
Dec 22, 2023
v16
2024-04-19 7:51pm
Generated on Apr 19, 2024
109 Total Images
View All Images
Dataset Split
Train Set 96%
105Images
Valid Set 1%
1Images
Test Set 3%
3Images
Preprocessing
Isolate Objects: Applied
Dynamic Crop: Class: Road
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Saturation: Between -67% and +67%
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