Dataset Versions

Versions
dataset_2017-2019
v5
·
7 months ago
2024-06-10 12:01pm
v4
·
7 months ago
2024-05-29 8:40am
v3
·
7 months ago
2024-05-27 9:23am
v2
·
7 months ago
2024-05-24 8:20am
v1
·
7 months ago
v4

2024-06-10 12:01pm

Generated on Jun 10, 2024
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Dataset Split

Train Set 87%
1017Images
Valid Set 8%
98Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 127 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Hue: Between -15° and +15°

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