Gripper_detector Dataset

v1

2024-08-31 6:46pm

Generated on Aug 31, 2024

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Dataset Split

Train Set 93%
264Images
Valid Set %
0Images
Test Set 7%
20Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Blur: Up to 2.8px
Cutout: 13 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -13° and +13°

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