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.

InsurCap

InsurCap

Insur.Cap revolutionizes risk management with algorithmically driven augmented underwriting, leveraging computer vision AI & LAM for image-caption fusion. The orchestration processes proactively predict risks and facilitate accessible comprehensive coverage, overcoming traditional insurance limitations. Insur.Cap optimizes “Assistant-LAM” communication via a chatbot-based UI conversation flow interface. Looking from the perspective of Knowledge augmentation, we have a “data point issue” while the PROBLEM is that the incumbent does not employ DATA {as a tool, knowledge…} driven decision making, (to help processes make better-agile decisions by bringing in {data} more {usable} information to the risk underwriting, as a new data set - data points.) -Traditional insurance is too complex. -Definitely there is still a gap between the needs (mainly on-demand or custom-target needs). -Last but not least, proactive prevention might play a crucial role - if we emphasize prevention as a service proposition. Multimodal orchestration is our magic weapon! We develop a seamless-simple customer UuserInterface that delivers more/new datasets and data points for augmenting underwriting. Through the {Large Action/Agentic Model} we empower algorithmically driven architecture and orchestrate the process flow decision tree. Let me show you how we do that! First, with a simple User Interface we ingest the image and from the AI receive the CAPTION - this means the context from the image. That is the first pillar of the AI_assitant Then the core pillar of AI_ “Agent - Action” capability is to compute the: proper insurance product line based on the item from the caption execute premium calculation logic offer personalized coverage and finally issue the insurance policy All of that is our AI assistant Chatbot-based user interface; a SaaS (IaaS) API-driven technology stack.

Visionary Plates

Visionary Plates

Visionary Plates: Advancing License Plate Detection Models is a project driven by the ambition to revolutionize license plate recognition using cutting-edge object detection techniques. Our objective is to significantly enhance the accuracy and robustness of license plate detection systems, making them proficient in various real-world scenarios. By meticulously curating and labeling a diverse dataset, encompassing different lighting conditions, vehicle orientations, and environmental backgrounds, we have laid a strong foundation. Leveraging this dataset, we fine-tune the YOLOv8 model, an architecture renowned for its efficiency and accuracy. The model is trained on a carefully chosen set of parameters, optimizing it for a single class—license plates. Through iterative experimentation and meticulous fine-tuning, we address critical challenges encountered during this process. Our journey involves overcoming obstacles related to night vision scenarios and initial model performance, with innovative solutions like Sharpening and Gamma Control methods. We compare and analyze the performance of different models, including YOLOv5 and traditional computer vision methods, ultimately identifying YOLOv8 as the most effective choice for our specific use case. The entire training process, from dataset curation to model fine-tuning, is efficiently facilitated through the use of Lambda Cloud's powerful infrastructure, optimizing resources and time. The project's outcome, a well-trained model, is encapsulated for easy access and distribution in the 'run.zip' file. Visionary Plates strives to provide a reliable and accurate license plate detection system, with the potential to significantly impact areas such as traffic monitoring, parking management, and law enforcement. The project signifies our commitment to innovation, pushing the boundaries of object detection technology to create practical solutions that make a difference in the real world.

DublinByte Video Surveillance

DublinByte Video Surveillance

The core ethos of DublinByte's surveillance system lies in harnessing the power of AI to enhance safety and security across various domains. By employing sophisticated object detection algorithms, the system enables swift and precise identification of diverse elements, including people, animals, and objects. This real-time detection capability proves to be a game-changer, allowing immediate response to potential threats and suspicious activities, effectively mitigating risks and ensuring a safer environment. An intriguing aspect of DublinByte's creation is its seamless integration of text-to-speech models. This ingenious addition empowers the system to provide vocal notifications and alerts upon identifying specific objects, such as cups. The real-time audio feedback plays a crucial role in alerting security personnel, property owners, or relevant authorities, enabling rapid and decisive actions when needed. While their prototype focuses on detecting cups, the underlying AI architecture is inherently versatile and scalable. DublinByte's surveillance system holds immense promise to be customized for recognizing an array of objects, from weapons and hazardous items to missing individuals or potential intruders. This adaptability underscores the system's potential to revolutionize security protocols in various settings. The applications of DublinByte's AI-driven surveillance system are both comprehensive and far-reaching. In bustling public spaces like airports, train stations, and shopping centers, the system can act as an ever-vigilant guardian, ensuring the safety of commuters and shoppers alike. In private establishments, including offices, homes, and warehouses, it becomes an invaluable asset for preventing theft, monitoring crowd movements, and maintaining overall security.