Honecomb

Honeycomb IITKGP

Instance Segmentation

Honeycomb IITKGP Image Dataset

v1

2023-09-06 4:51pm

Generated on Sep 6, 2023

Dataset Split

Train Set 96%
297Images
Valid Set 3%
8Images
Test Set 2%
5Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%