OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations.

•OR-Skip-Net is an end-to-end semantic segmentation network for skin & gland segmentation.•OR-Skip-Net converges faster using only 9718,786 parameters and keeping edge information.•OR-Skip-Net uniquely uses the outer residual skip paths from the encoder to directly decoder.•OR-Skip-Net is tested for skin segmentation of black skin people (BSP).•Trained OR-Skip-Net, algorithms, and BSP label information are made publicly available.