FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Auto detecting, masking and inpainting with detection model.

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

Detecting face masks using Python, Keras, OpenCV on real video streams

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

Auto masking and inpainting for person, face, hand. Resizing image using detection model.

Building detection from the SpaceNet dataset by using Mask RCNN.

Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19

Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

😷 An SPA that uses only the front-end to perform deep-learning-based facial landmark detection on images and automatically adds breathing mask stickers.

Face mask detection system using Deep learning.

Mask R-CNN for object detection and instance segmentation on Pytorch

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.

PII Masker is an open-source tool for protecting sensitive data by automatically detecting and masking PII using advanced AI, powered by DeBERTa-v3. It provides high-precision detection, scalable performance, and a simple Python API for seamless integration into workflows, ensuring privacy compliance in various industries.

Real time face-mask detection using Deep Learning and OpenCV

Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.

Sentinel-1 & Sentinel-2 data cubes at large scale (bigger-than-memory) on any machine with integrated cloud detection, snow masking, harmonization, merging, and temporal composites.

Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19)

Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

DaisyKit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, face recognition and more. - with NCNN, OpenCV, Python wrappers