Dataset Versions

Versions
2023-08-11 8:50am
v9
·
a year ago
2023-08-09 9:40pm
v8
·
a year ago
2023-08-09 9:05pm
v7
·
a year ago
2023-08-09 6:30pm
v6
·
a year ago
2023-06-26 4:42pm
v3
·
a year ago
2023-06-26 12:05pm
v2
·
a year ago
2023-06-08 6:06pm
v1
·
a year ago
v7

2023-08-09 9:05pm

Generated on Aug 9, 2023
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2811 Total Images

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Dataset Split

Train Set 88%
2478Images
Valid Set 11%
322Images
Test Set 0%
11Images

Preprocessing

Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Shear: ±2° Horizontal, ±2° Vertical
Exposure: Between -10% and +10%
Blur: Up to 4.75px
Noise: Up to 2% of pixels

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