Koreatech

Edit Project

cucumber

Instance Segmentation

cucumber Image Dataset

Versions
2024-05-11 9:38pm
v22
May 11, 2024
2024-04-19 9:08am
v21
Apr 19, 2024
2024-04-13 3:07pm
v20
Apr 13, 2024
2024-03-25 1:33pm
v19
Mar 25, 2024
1600-1200
v18
Mar 19, 2024
640-480
v17
Mar 15, 2024
2024-03-11 10:39am
v15
Mar 11, 2024
2024-03-11 10:27am
v14
Mar 11, 2024
2024-03-08 10:31am
v13
Mar 8, 2024
2024-03-07 4:46pm
v12
Mar 7, 2024
2024-03-04 6:07pm
v11
Mar 4, 2024
2024-03-04 6:04pm
v10
Mar 4, 2024
2024-03-04 6:00pm
v9
Mar 4, 2024
2024-02-27 3:51pm
v8
Feb 27, 2024
2024-02-27 3:46pm
v7
Feb 27, 2024
2024-02-27 3:43pm
v6
Feb 27, 2024
2024-02-27 1:43pm
v5
Feb 27, 2024
2024-01-29 2:08pm
v3
Jan 29, 2024
v21

2024-04-19 9:08am

Generated on Apr 19, 2024
Download Dataset

1598 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 87%
1398Images
Valid Set 6%
100Images
Test Set 6%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Fill (with center crop) in 1920x1200

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Hue: Between -19° and +19°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px