Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
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Updated
Oct 31, 2021 - HTML
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Obstacle and free-space detection system for drones
Image processing assignments for CS663
Django server version for water bodies detection.
🌐 This is visualization of KML files for road damage detection by AI tech.
Minh-Trieu Truong (Computer Vision Engineer | AI Engineer | Researcher in Computer Vision & NLP)
🔍 Enhance anomaly detection with AD-DINOv3, a framework adapting DINOv3 for zero-shot scenarios through advanced calibration techniques.
Hot Hẻm: Routing tool not for the fastest nor the coolest path, but the hottest path. A downscaled case study in Sài Gòn, Việt Nam (Hồ Chí Minh City / HCMC) districts 1, 2, and 8.
🖼️ Run Segformer efficiently for rapid image and video segmentation with minimal setup. Streamline your workflow and enhance your projects quickly.
Tissue classification of T1-weighted brain MR acquisitions using a hidden markov random field model.
Website of Turku Bioimaging - Image Data Team (TBI-IDAT) containing our current and past projects as well as software and tools we use.
This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.
The goal is to segment instances of microvascular structures, including capillaries, arterioles, and venules, to in automating the segmentation of microvasculature structures as it will improve researchers' understanding of how the blood vessels are arranged in human tissues.
Textured Glass Project
Implemented a model to detect brain tumors using advanced machine learning techniques. This project showcases the power of AI in transforming healthcare. 🧠🔬
33rd BMVC accepted paper
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
A free, browser-based tool for removing image backgrounds using AI. No signup required, powered by Hugging Face Transformers.
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