SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
-
Updated
Nov 11, 2023 - Python
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
Deep Learning Computer Vision Algorithms for Real-World Use
Make drawing and labeling bounding boxes a piece of cake
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
The ultimate customizable dash-cam platform, with ALPR and object recognition capabilities
A collection of SOTA Image Classification Models in PyTorch
CORe50: a new Dataset and Benchmark for Continual Learning
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.
High level python script that looks at a folder of video files and tells you which files contain people.
Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
Vehicle make and model classification in Tensorflow by fine-tuning VGG16
As a part of the HAKE project (HAKE-Object), code for SymNet (CVPR'20 and TPAMI'21).
Tracking and Trajectory Prediction
Fiji plugin for object(s) detection using template(s) matching
A computer vision project tracking an object in space with a camera actuated by two stepper motors. Uses an Arduino microcontroller for stepper motor control, and the Python 3 OpenCV library for computer vision.
This repository contains all files I used to create the project Hands Seals Detection - an AI model that detects Naruto hands seals in real-time.
Iranian cars number plate detection and recognition
Recognize faces and objects in the video based on Milvus.
YOLO v3 object detection trained on COCO with CLI interface. OpenCV and TensorFlow Keras implementations and comparison.
Add a description, image, and links to the object-recognition topic page so that developers can more easily learn about it.
To associate your repository with the object-recognition topic, visit your repo's landing page and select "manage topics."