🖼️ Run Segformer efficiently for rapid image and video segmentation with minimal setup. Streamline your workflow and enhance your projects quickly.

🔍 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.

Minh-Trieu Truong (Computer Vision Engineer | AI Engineer | Researcher in Computer Vision & NLP)

A Flask-based web application for removing backgrounds from images using Python and the rembg library. This project features a clean UI, efficient image processing, and is easily deployable. Perfect for anyone needing a simple and effective background removal tool.

A free, browser-based tool for removing image backgrounds using AI. No signup required, powered by Hugging Face Transformers.

Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data

Implemented a model to detect brain tumors using advanced machine learning techniques. This project showcases the power of AI in transforming healthcare. 🧠🔬

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.

33rd BMVC accepted paper

2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification

Textured Glass Project

Change detection in remote sensing

Obstacle and free-space detection system for drones

Website of Turku Bioimaging - Image Data Team (TBI-IDAT) containing our current and past projects as well as software and tools we use.

Image Recognition, Image Segmentation, Transfer Learning, Face Recognition

Django server version for water bodies detection.

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.