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Explore the new frontier of vision AI

Join us on September 27th for our free hybrid event, streamed live from Google for Startups in Madrid.

Watch: YOLO Vision 2023 on YouTube Live.

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Powered by Ultralytics, #YV23 is the only conference in the world that focuses on open-source vision AI development and progress. Taking place both in-person and online, researchers, engineers, and practitioners will come together for the second year in a row to share knowledge, innovation, and progress. Join experts and leaders on September 27th at Google for Startups in Madrid, Spain to push the boundaries of the new frontier of Vision AI.

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PANEL: Making Open-Source Vision AI Easy

Bo Zhang, Meituan
Glenn Jocher, Ultralytics
Yonatan Geifman, Deci

Glenn Jocher of Ultralytics (YOLOv5 and YOLOv8), Yonatan Geifman of Deci (YOLO-NAS), and Bo Zhang of Meituan (YOLOv6) come together on this panel to explore the state of open-source vision AI. This panel will delve into the challenges and priorities encountered during model implementation, providing valuable insights for seamless AI adoption. Additionally, the panelists will address deployment on edge devices, examine the potential for object re-identification modules, provide insights on model deployment, and more. 

Upgrade Any camera with YOLOv8 in a No-Code Way

Elaine Wu, Seeed

There are about 1 billion network cameras worldwide deployed. Smart cameras powered by advanced AI can focus on what matters most and bring spaces safety for everyone from drivers and pedestrians to retailers and shoppers. We will walk you through overall edge performance for video analytics applications inferencing on NVIDIA Jetson and you can upgrade any legacy camera with YOLOv8 model without any line of code.

YOLO Supercharged: Harnessing AI-Native Power

Dr. Bram Verhoef , Axelera AI

Join us to see how Axelera AI’s Metis platform delivers industry-leading performance and usability, just at a fraction of the cost and power consumption of solutions available today. Discover the impressive results of our hardware and software solution, optimizing YOLO models for inference on edge devices.

Bridging the Gap Between AI Research to Real-Time Edge

Amir Servi, Sony

AI is transforming various sectors, commodities, and fundamental functionalities. Nevertheless, deep neural networks consume excessive resources in terms of memory, computational power, and energy. To ensure the widespread adoption of AI, it must operate efficiently on end-user devices, adhering to strict power and thermal constraints. Techniques such as quantization and compression play a pivotal role in mitigating these challenges.

In this webinar, Sony’s product manager, Amir Servi, will walk you through Sony’s Model Compression Toolkit for quantizing and accelerating deep learning models for efficient edge deployment. You’ll learn how to do the same for your own model! What you’ll learn:

- Our latest research in quantization techniques and its implementation into a practical product

- Importance of hardware-aware compression for inferencing on edge

- How engineers and researchers can implement these techniques through Sony MCT

AI for Everyone: Ultralytics HUB Levels the Playing Field

Kalen Michael, Ultralytics

Ultralytics HUB lowers the barriers to entering into the world of ML, making it accessible to individuals and businesses alike, regardless of coding expertise. Learn how this platform is set to revolutionize the way we approach machine learning, empowering a new generation of data enthusiasts to turn their ideas into reality with unprecedented ease.

And don't miss out on our big announcement...

Show and Tell: How to Deploy YOLO to (Almost) Anything: Simpler and Faster!

Lakshantha Dissayanake, Seeed

Deploying state-of-the-art models on embedded devices from Edge GPU of NVIDIA Jetson to tiny MCUs presents challenges and limitations. We will walk through how to deploy these models including YOLOv8 in the streamlined approach and overall edge performance for video analytics applications inferencing on NVIDIA Jetson.

KENYOTE: Exploring Ultralytics YOLO: Advancements in State-of-the-Art Vision AI

Glenn Jocher, Ultralytics

Glenn is on a relentless pursuit to develop the finest Vision AI in the world. For him, this is not just a technological achievement, but a vital stepping stone toward realizing the potential of AGI. The spearheads of this relentless pursuit are none other than YOLOv5, YOLOv8, and the Ultralytics HUB.

So, what makes Ultralytics YOLO the best in the world?

Open-Source Vision With Transformers

Merve Noyan, Hugging Face

Recent advancements in computer vision have been significantly propelled by the introduction of transformer architecture and the user-friendly abstractions to pre-train, fine-tune and infer in 🤗 transformers library. This talk provides an overview of the latest transformer-based vision models, explores the utilities available within the 🤗 transformers library, and offers practical insights into the philosophy behind it.

KEYNOTE: Skip the Line! Learn How to Build a Smart Queue Management System with YOLOv8

Adrian Boguszewski, Intel OpenVINO

Tired of long lines at retail checkout? Our Intelligent Queue Management system is the answer! Join us for a step-by-step tutorial on how to create such a system using OpenVINO and YOLOv8. We'll walk you through the process of integrating these powerful open-source tools to develop an end-to-end solution that can be deployed in retail checkout environments. You'll learn how to optimize the application to achieve outstanding performance. Whether you're an experienced developer or new to AI, this session will provide practical tips and best practices for building intelligent systems using OpenVINO. By the end of the presentation, you'll have the knowledge and resources to build your own solution.

AI Ethical Challenges

Mónica Villas

In an era defined by rapid advancements in artificial intelligence (AI), navigating the ethical landscape of this technology is paramount. In this session, Mónica will unravel the intricate web of ethical dilemmas that accompany AI's transformative power. From addressing bias and fairness to exploring transparency, accountability, and the profound impact of AI on society, Monica will provide insights that shed light on the ethical considerations surrounding AI.

This talk is your opportunity to gain a fundamental understanding of the ethical challenges and responsibilities associated with AI. Mónica will equip you with knowledge that is essential for anyone engaged in AI development, decision-making, or policy formation.

Accelerating Retail Transformation with the Power of Foundation Models

José Benítez Genes, Intuitivo

Foundation Models can be demanding in terms of GPU computation and may not be suitable for real-time applications, especially if you want to scale millions of Autonomous Points of Purchase. But we take advantage of the method called knowledge distillation, where we put our foundation models for complex tasks such as annotations and transfer this knowledge into smaller and cost effective models. This allows us to speed up our annotation process up to 90 times faster than human traditional labeling.

Building an Active Learning Pipeline, the Easy Way

Yono Mittlefehldt, DagsHub

Pssst. Want to hear a secret? What if I told you that active learning doesn't have to be hard. What if there were... an easy way? You're in luck. This talk will show you exactly how to implement an active learning pipeline using DagsHub's Data Engine. And 90% of the pipeline can run directly in a Jupyter Notebook or on Google Colab! By the end of the talk, you'll have the information necessary to convert your existing project into one that uses active learning to efficiently and quickly improve your models' metrics!

Building with Open Source and YOLOv8

Joseph Nelson, Roboflow

Using open source tools with YOLOv8 can help you get your next vision AI project up and running, fast. There are repositories of open source images, libraries to help automate data labeling, tools for tracking or counting, and servers for deploying your models. Learn how to use them with YOLOv8 to build your next application.

Human and Machine Intelligence for Planetary Climate Action

Dr. Ramit Debnath and Seán Boyle, Unitmode

The ongoing global race for bigger and better artificial intelligence (AI) systems is expected to have a profound societal and environmental impact by altering job markets, disrupting business models, and enabling new governance and societal welfare structures that can affect global consensus for climate action pathways. However, the current AI systems are trained on biased datasets that could destabilize political agencies impacting climate change mitigation and adaptation decisions and compromise social stability, potentially leading to societal tipping events. Thus, the appropriate design of a less biased AI system that reflects both direct and indirect effects on societies and planetary challenges is a question of paramount importance.

Deploying Quantized YOLOv8 Models on Edge Devices

Shashi Chilappagari, DeGirum

Quantization of machine learning (ML) models can lead to significant decrease in the model size as well as reduction in inference latency due to lower bandwidth requirements. When deployed on hardware options that support integer computations efficiently, the performance gains can be even more dramatic. However, quantization can sometimes lead to unacceptable degradation in accuracy. In this talk, we present an overview of the methods to efficiently quantize YOLOv8 models making them an excellent choice for various real-time edge AI applications. We also introduce a class of YOLOv8 models with ReLU6 activation function that show excellent post training quantization results on a variety of model architectures and datasets. Finally, we illustrate how the quantized models can be deployed on multiple hardware options such as CPUs, Edge TPUs, and Orca (DeGirum’s AI HW accelerator) using simple APIs.

Supercharging Ultralytics with Weights & Biases

Soumik Rakshit, Weights & Biases

Ultralytics is the home for cutting-edge, state-of-the-art computer vision models for tasks like image classification, object detection, image segmentation, and pose estimation. Weights & Biases is a developer-first MLOps platform that when integrated with an Ultralytics workflow, enables us to easily manage our experiments, model checkpoints, and visualize the results of our experiments in an insightful and intuitive manner. In this session, we will explore how we can effectively supercharge our computer vision workflows using Ultralytics and Weights & Biases.

PatentPT: Building an LLM-Powered Solution with Enterprise-Grade Memory Agents

Davit Buniatyan, Activeloop

Learn how we created PatentPT, an advanced language model solution that greatly enhances patent search and interaction capabilities. The presentation offers practical insights on fine-tuning and deploying large language models and leveraging enterprise-grade memory agents to autocomplete patents, generate abstracts and claims, and conduct advanced patent search functions using the rich patent corpus. We’ll walk you through how to develop a similar solution using cutting-edge Activeloop’s Deep Lake, the Database for AI, open-source LLM models, Habana Gaudi HPU hardware, and Amazon Sagemaker’s LLM inference APIs.

We will walk you through architectural blueprints and all the steps we took to build the solution – from training our LLM model and finetuning it, creating custom features, and deploying search APIs.

Whether you’re an AI practitioner looking for practical guides on finetuning LLMs, a legal professional interested in leveraging AI for patent search, or simply curious about the future of AI-enhanced solutions, our talk provides a glimpse into the process and potential of using LLMs in a specialized field. Join us as we share our journey of building custom LLM-powered apps powered by Deep Lake, the Database for AI for companies big and small.

Series As for Open Source: What Investors are Looking for

Erica Brescia, Redpoint

Open source companies are built differently. In this talk, we'll cover what investors will be looking for when considering investing at the Series A. Spoiler: you might not need revenue, but you definitely need momentum! We'll share best-in-class metrics from other OSS companies to help you figure out when to raise.


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Complete this form to attend YV23 either in-person or virtually. Our free, hybrid event will be held on September 27th, 2023 at Google for Startups in Madrid, Spain. We will stream all talks live through a link to be distributed via email before the start of the event.

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