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
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
A collection of SOTA Image Classification Models in PyTorch
Make drawing and labeling bounding boxes a piece of cake
High level python script that looks at a folder of video files and tells you which files contain people.
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.
The ultimate customizable dash-cam platform, with ALPR and object recognition capabilities
Vehicle make and model classification in Tensorflow by fine-tuning VGG16
HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)
Recognize faces and objects in the video based on Milvus.
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition (CVIU 2022)
Tracking and Trajectory Prediction
Fiji plugin for object(s) detection using template(s) matching
Recognition of multi-objects from images and real time web camera
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.
Object Recognition with Scalable Vocabulary Tree
A simple image-based object detection tensorflow app in Python
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."