object-recognition

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

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)

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Deep Learning Computer Vision Algorithms for Real-World Use

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

Make drawing and labeling bounding boxes easy as cake

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

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

🟣 Object detection of abstract shapes with neural networks

Face mask detection system using Deep learning.

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

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

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

A curated list of visual relationship detection and related area resources

Object-recognition using multiple templates in python

SURF - Speeded Up Robust Features - source code

A Box detection algorithm for any image containing boxes.

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