Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data
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Updated
Apr 5, 2025 - HTML
Easily create a web UI on Amazon Mechanical Turk to crowd-source instance segmentation data
AI Assisted Image and Video Training Data Labeling @ Scale
Image Recognition, Image Segmentation, Transfer Learning, Face Recognition
Obstacle and free-space detection system for drones
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.
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.
Textured Glass Project
Image processing assignments for CS663
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
🌐 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.
2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification
Use of kmeans segmentation algorithm to classify dermis, epidermis and tumor infiltration.
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