IEEE

Efficient Dataset Generation for Stacked Meat Products Instance Segmentation in Food Automation

Abstract: Dear Editor, This letter presents techniques to simplify dataset generation for instance segmentation of raw meat products, a critical step toward automating food production lines. Accurate ...
IEEE

A Hybrid Approach for Skin Disease Detection Using GrabCut Segmentation and Inception-v3 Network

Abstract: Recently, deep learning algorithms have gained considerable interest due to their phenomenal capability of multitask detection and classification in various skin-related diseases. The goal ...
GitHub

Weakly- and Semi-Supervised Panoptic Segmentation

This repository demonstrates the weakly supervised ground truth generation scheme presented in our paper Weakly- and Semi-Supervised Panoptic Segmentation published at ECCV 2018. The code has been ...
GitHub

opencv12-manual-foreground-extraction.py

# This mask will be updated by the GrabCut algorithm to mark foreground/background pixels mask = np.zeros(img.shape[:2], np.uint8) ...
Frontiers

Multi-FusNet–convolutional neural network with improved Huber loss function for plant leaf disease detection and classification

Then, the MobileNetV3 + Swin Transformer (Faisal et al., 2023) and Grabcut method and color analysis process (Hasan RI. et al., 2022) methods are compared on the RoCoLe dataset.