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screw detection

Instance Segmentation

screw detection Image Dataset

Versions
2023-04-26 10:02am
v17
Apr 26, 2023
2022-12-25 3:29am
v16
Dec 24, 2022
2022-11-22 6:42pm
v15
Nov 22, 2022
2022-11-22 6:29pm
v14
Nov 22, 2022
2022-11-22 6:20pm
v13
Nov 22, 2022
2022-11-21 6:54pm
v12
Nov 21, 2022
2022-11-18 6:21pm
v11
Nov 18, 2022
2022-11-18 5:59pm
v10
Nov 18, 2022
2022-11-18 5:55pm
v9
Nov 18, 2022
2022-11-18 4:36pm
v8
Nov 18, 2022
2022-11-13 3:48am
v7
Nov 12, 2022
2022-11-08 4:56pm
v6
Nov 8, 2022
2022-11-08 4:53pm
v5
Nov 8, 2022
2022-11-06 8:06pm
v4
Nov 6, 2022
2022-11-05 10:42am
v3
Nov 5, 2022
2022-11-04 7:45pm
v2
Nov 4, 2022
2022-11-04 4:26pm
v1
Nov 4, 2022
v17

2023-04-26 10:02am

Generated on Apr 26, 2023
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2035 Total Images

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Dataset Split

Train Set 95%
1928Images
Valid Set 5%
107Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 2 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels