Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
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Updated
Dec 6, 2021 - TypeScript
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
Robust realtime face and facial landmark tracking on CPU with Unity integration
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.
This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose COVID-19.
Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.
Pest Detection using Deep Learning and Tensorflow in python from scratch.
A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.
A Flutter plugin for managing both Yolov5 model and Tesseract v4, accessing with TensorFlow Lite 2.x. Support object detection, segmentation and OCR on both iOS and Android.
Aankh - A real time proctoring solution 🦄
Detects the stress level of an individual using Machine Learning Algorithms
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.
Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)
Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.
✅ An Overwatch 2 triggerbot using detection AI !
A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo
Our project tackles the crucial task of detecting coffee leaf diseases like Rust, Cercospora, and Phoma, endangering Kenya's coffee farms. Using state-of-the-art technology and Arabica coffee leaf image data, our CNN models deliver impressive accuracy, providing farmers with early disease detection to protect their livelihoods.
Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.
HelpVu: An AI-powered narration application for the visually impaired. Winner of Best Overall Health Hack at HackHealth 2021 🏆
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