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pt-detect

Instance Segmentation

pt-detect Image Dataset

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Versions
2023-03-27 4:43am
v15
Mar 27, 2023
2023-02-09 12:09pm
v14
Feb 9, 2023
2023-02-06 4:03pm
v13
Feb 6, 2023
2023-02-04 9:49am
v12
Feb 4, 2023
2023-01-30 12:15pm
v11
Jan 30, 2023
2023-01-27 11:34am
v10
Jan 27, 2023
2023-01-11 5:19pm
v9
Jan 11, 2023
2023-01-09 5:46pm
v8
Jan 9, 2023
2023-01-09 10:02am
v7
Jan 9, 2023
2023-01-06 12:24pm
v6
Jan 6, 2023
2023-01-06 10:24am
v5
Jan 6, 2023
2023-01-06 10:12am
v4
Jan 6, 2023
2023-01-06 10:00am
v3
Jan 6, 2023
2023-01-04 3:45pm
v2
Jan 4, 2023
2023-01-04 2:03pm
v1
Jan 4, 2023
v6

2023-01-06 12:24pm

Generated on Jan 6, 2023
Download Dataset

1000 Total Images

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Dataset Split

Train Set 86%
864Images
Valid Set 8%
76Images
Test Set 6%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -30° and +30°
Grayscale: Apply to 36% of images
Hue: Between -148° and +148°
Saturation: Between -90% and +90%
Brightness: Between -27% and +27%
Blur: Up to 3.25px
Noise: Up to 3% of pixels