Dataset Versions

Versions
2024-03-26 10:42am
v27
·
9 months ago
2024-03-22 10:53am
v26
·
9 months ago
2024-03-22 10:47am
v25
·
9 months ago
2024-03-21 5:19pm
v24
·
9 months ago
2024-03-21 5:13pm
v23
·
9 months ago
2024-01-26 4:12pm
v22
·
a year ago
2023-12-06 11:39am
v21
·
a year ago
good results
v20
·
a year ago
no good results
v19
·
a year ago
2023-12-05 2:45pm
v18
·
a year ago
2023-12-05 2:43pm
v17
·
a year ago
2023-12-05 2:39pm
v16
·
a year ago
2023-12-05 2:37pm
v15
·
a year ago
2023-12-05 2:13pm
v14
·
a year ago
2023-12-05 2:09pm
v13
·
a year ago
2023-12-04 2:41pm
v12
·
a year ago
2023-11-20 1:42pm
v11
·
a year ago
2023-06-02 4-25pm-max augmentation-
v10
·
2 years ago
2023-06-02 4:22pm
v9
·
2 years ago
2023-06-02 4:19pm
v8
·
2 years ago
2023-06-02 10-40am-good augmentation-good result
v7
·
2 years ago
2023-06-01 10-03am-low augmentation good result-
v6
·
2 years ago
2023-04-25 7:55pm
v5
·
2 years ago
2023-04-25 7:53pm
v4
·
2 years ago
2023-04-25 7:51pm
v3
·
2 years ago
2023-04-25 4:04pm
v2
·
2 years ago
2023-04-24 4:58pm
v1
·
2 years ago
v20

good results

Generated on Dec 5, 2023
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1739 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 74%
1295Images
Valid Set 16%
274Images
Test Set 10%
170Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 4% size each

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