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)

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.

C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.

Aankh - A real time proctoring solution 🦄

Fast anchor free Object Detection based on CenterNet (Objects As Points) and TTFNet (Training-Time-Friendly Network). Implemented in TensorFlow 2.4+.

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.

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.

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.

Official implementation of ColonSegNet: Real-Time Polyp Segmentation (Used in NVIDIA Clara Holoscan App for Polyp Segmentation)

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.

LiDAR-Camera Fusion for 3D Object Detection in Autonomous Driving Systems

Crosswalks Detection using YOLO, project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering.

A web application to detect diseases in tomatoes through image detection on tomato leaves using YoLo

✅ An Overwatch 2 hero detection AI made with YOLOV8 !

MambaCoral-DiffDet code and Dataset

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.