A curated list of action recognition and related area resources

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

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)

Deep Learning Computer Vision Algorithms for Real-World Use

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

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.

Make drawing and labeling bounding boxes easy as cake

🟣 Object detection of abstract shapes with neural networks

💎 "Marker-less Augmented Reality" with OpenCV and OpenGL

Face mask detection system using Deep learning.

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

A curated list of visual relationship detection and related area resources

A Box detection algorithm for any image containing boxes.

SURF - Speeded Up Robust Features - source code

CORe50: a new Dataset and Benchmark for Continual Learning

Object Recognition using TensorFlow and Java

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

Vehicle make and model classification in Tensorflow by fine-tuning VGG16

Object-recognition using multiple templates in python

This is the python implementation of openvino models.

Neural Network Configurable Aimbot for FPS games with custom training mode ︻デ═一

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

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

Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)

Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)

Fiji plugin for object(s) detection using template(s) matching

[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

Deep-learning approaches to object recognition from 3D data