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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
v5

2024-02-27 1:43pm

Generated on Feb 27, 2024
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145 Total Images

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Dataset Split

Train Set 91%
132Images
Valid Set %
0Images
Test Set 9%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -16° and +16°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.37% of pixels