Dataset Versions

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Versions
2024-09-15 9:01pm
v9
·
3 months ago
2024-04-15 6:01pm
v8
·
8 months ago
2024-04-07 5:29pm
v7
·
8 months ago
2024-03-17 5:43pm
v6
·
9 months ago
2024-02-04 3:37pm
v5
·
a year ago
2024-01-29 6:32pm
v4
·
a year ago
2024-01-28 4:39pm
v3
·
a year ago
2024-01-28 4:33pm
v2
·
a year ago
2023-11-30 6:46pm
v1
·
a year ago
v7

2024-04-07 5:29pm

Generated on Apr 7, 2024
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Dataset Split

Train Set 89%
2244Images
Valid Set 8%
192Images
Test Set 4%
99Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.71% of pixels

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