Dataset Versions

Versions
2023-11-23 12:26am
v8
·
a year ago
2023-11-19 7:07pm
v7
·
a year ago
2023-11-19 7:01pm
v6
·
a year ago
2023-10-28 6:54pm
v5
·
a year ago
2023-10-22 3:13am
v4
·
a year ago
2023-09-17 11:19pm
v3
·
a year ago
2023-09-17 11:10pm
v2
·
a year ago
2023-09-17 11:08pm
v1
·
a year ago
v7

2023-11-19 7:07pm

Generated on Nov 19, 2023
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3906 Total Images

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Dataset Split

Train Set 82%
3204Images
Valid Set 9%
352Images
Test Set 9%
350Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Blur: Up to 3px
Noise: Up to 10% of pixels

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