Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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Updated
May 24, 2024 - Python
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
The Intel® Automated Self-Checkout Reference Package provides critical components required to build and deploy a self-checkout use case using Intel® hardware, software, and other open-source components.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Repository for Intel Edge AI for IoT projects. Computer vision projects applicable to the service, manufacturing, and transport industry. Another project controls the computer mouse using eye gaze and head pose estimation.
Faster inference YOLOv8: Optimize and export YOLOv8 models for faster inference using OpenVINO and Numpy 🔢
Grammar Guruji is an interactive web application powered by Streamlit, designed to correct grammatical errors in text using state-of-the-art NLP models. It leverages the Hugging Face Transformers library and Optimum Intel OpenVINO integration for efficient model inference.
Treatise of Medical Image Processing (TMIP) v0.2.0
Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
An intelligent guide robot providing additional information for visually impaired individuals 提供環境識別與避障導引之智慧導盲車
Autonomous Weed Removal Robot Based on ROS and Deep Learning Model 基於ROS及深度學習模型之自動除草機器人
Explore the cutting edge of computer vision with this comprehensive repository, showcasing a spectrum from classical machine learning to state-of-the-art transformer models.
YOLOV8 - Object detection
Use TensorFlow and PYXInput to create AI's for any video game
Demonstrates the ability to run multiple models on the OpenVINO toolkit on one edge device to control a computer pointer by staring at different locations on the screen
OpenVINO™ Toolkit - Deep Learning Workbench repository Auxuliary Assets
A Car Damage Assessment Web APP based on Artificial Intelligence. Tools used are Tensorflow, Django, Openvino, Vuejs, Axios, html2pdf.js
Model Preparation Algorithm: a Transfer Learning Framework
People Counter Application using OpenVINO Toolkit.
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