YOLO YOLOv8 AI technology Top Builders

Explore the top contributors showcasing the highest number of YOLO YOLOv8 AI technology app submissions within our community.

YOLO v8

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.

What's new in YOLOv8?

YOLOv8 supports a full range of vision AI tasks, including detection, segmentation, pose estimation, tracking, and classification. This versatility allows users to leverage YOLOv8's capabilities across diverse applications and domains.

General
Relese dateMay, 2023
Repositoryhttps://github.com/ultralytics/ultralytics
TypeReal time object detection

Libraries

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YOLO YOLOv8 AI technology Hackathon projects

Discover innovative solutions crafted with YOLO YOLOv8 AI technology, developed by our community members during our engaging hackathons.

SkyDoc

SkyDoc

The problem SkyDoc solves Patchy Connectivity: Limited or unreliable internet access in rural areas. No Doctor Available: A scarcity of medical professionals accessible to rural patients. No Healthcare Facilities: Lack of local healthcare infrastructure or clinics. No Awareness + Basic Knowledge: Limited health awareness and basic medical knowledge among rural populations. Instant Healthcare Features: Voice and Video Call Appointments: Connects rural patients with doctors via video calls. Seamlessly transitions to voice calls in areas with poor network connectivity. Supports communication in local languages. Disease Prediction Using ML: Utilizes Machine Learning for early detection and prediction of diseases. Analyzes patterns and factors contributing to disease onset. Enables proactive healthcare management and personalized care plans. WhatsApp and SMS Diagnostics: Offers health updates and diagnostic information via SMS and WhatsApp. Ensures continuous communication between healthcare providers and patients. Includes details about health status and future appointments. Healthcare AI Assistant: A chatbot that provides 24/7 health-related information and advice. Powered by advanced AI for accurate and swift responses. Enhances decision-making and access to health information. Education Center: Features educational videos on a variety of healthcare topics. Offers practical demonstrations and expert-led content. Aims to increase health awareness and proactive management among users.

World need talents

World need talents

This project is an advanced platform that utilizes artificial intelligence to analyze football. The main goal of the platform consists of three main parts: Performance Analysis: The platform gathers data and statistics about players' performance in live matches. This is done using artificial intelligence techniques to analyze players' movements and estimate their positions on the field. This data is analyzed to identify each player's strengths and weaknesses, and how they can improve their performance. Talent Discovery: The platform uses artificial intelligence to discover young talents in football. Machine learning techniques are used to analyze players' performance in matches and training sessions, searching for performance patterns similar to professional players. Therefore, this project uses technology to make football more understandable and accessible, helping improve players' performance, uncover young talents, and make knowledge available to as many fans as possible. The main goal of this project is to use artificial intelligence for our understanding and analysis of football. By specifically analyzing the players' weight boxing statistics, lightweight boxing, strong and lightweight boxing for all players, they can improve them. In addition, the project aims to use artificial intelligence to transform young talents in football. This can help provide greater opportunities for talented young people who may be overlooked by the traditional screening system. Overall, the project aims to use technology to improve how feet are analyzed and understood, and to enable this knowledge to be accessible to as many people as possible