GewelsJI/DGNet
Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..
This project helps researchers and developers automatically find and segment camouflaged objects in images, even when they blend seamlessly with their surroundings. You input an image containing a hidden object, and it outputs a precise segmentation mask highlighting the camouflaged object. This tool is for computer vision engineers or scientists working with visual data where identifying hidden or disguised elements is critical.
120 stars. No commits in the last 6 months.
Use this if you need to reliably detect and outline objects that are designed to be visually indistinguishable from their background.
Not ideal if your task involves detecting easily visible objects or if you require an extremely lightweight model for edge devices with very limited computational resources.
Stars
120
Forks
18
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2025
Commits (30d)
0
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