A curated list of action recognition and related area resources

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

The collection of pre-trained, state-of-the-art AI models for ailia SDK

🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres

Deep Learning Computer Vision Algorithms for Real-World Use

Make drawing and labeling bounding boxes a piece of cake

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own object recognizer.

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

🟣 Object detection of abstract shapes with neural networks

:gem: "Marker-less Augmented Reality" with OpenCV and OpenGL.

Object-recognition using multiple templates in python

Face mask detection system using Deep learning.

All Computer Vision Projects - Beginner to Advanced

A collection of SOTA Image Classification Models in PyTorch

The ultimate customizable dash-cam platform, with ALPR and object recognition capabilities

An example of using Tensorflow with Unity for image classification and object detection.

A curated list of visual relationship detection and related area resources

SURF - Speeded Up Robust Features - source code

A collection of some awesome public object detection and recognition datasets.

An example of using Tensorflow and ONNX models with Unity Barracuda inference engine for image classification and object detection.

CORe50: a new Dataset and Benchmark for Continual Learning

A Box detection algorithm for any image containing boxes.

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Data, code & materials from the paper "Generalisation in humans and deep neural networks" (NeurIPS 2018)

Distance Detector (People) with Yolov7

Object Recognition using TensorFlow and Java

High level python script that looks at a folder of video files and tells you which files contain people.