Software

How We Cleaned Up PASCAL and Improved mAP By 13%

This article was originally published at Hasty’s website. It is reprinted here with the permission of Hasty. We cleaned up all 17.120 images of the PASCAL VOC 2012 dataset in a week using Hasty’s AI-powered QC feature. We found that 6.5% of the images in PASCAL had different errors (missing labels, class label errors, etc.). […]

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“From ADAS to AD, Processor and Car Architecture Evolution,” a Presentation from Yole Développement

Tom Hackenberg, Principal Analyst for Computing and Software in the Semiconductor, Memory and Computing Division, and Adrien Sanchez, Technology and Market Analyst for Computing and Software, both of Yole Développement, present the “From ADAS to AD, Processor and Car Architecture Evolution” tutorial at the May 2022 Embedded Vision Summit. Few markets are as impactful to

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“Data Versioning: Towards Reproducibility in Machine Learning,” a Presentation from Tryolabs

Nicolás Eiris, Machine Learning Engineer at Tryolabs, presents the “Data Versioning: Towards Reproducibility in Machine Learning” tutorial at the May 2022 Embedded Vision Summit. Surprisingly in 2022, reproducibility is still a big pain point in most data science workflows. A critical element required for reproducibility is version control. Unfortunately, in machine learning there is a

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Free Webinar Explores Compression Techniques For Running Deep Learning Networks on Constrained Hardware

On November 10, 2022 at 9 am PT (noon ET), Steve Teig, Founder and CEO of Perceive, will present the free one-hour webinar “Putting Activations on a Diet – Or Why Watching Your Weights Is Not Enough,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: To reduce

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“Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications,” a Presentation from Camio

Rakshit Agrawal, Vice President of Research and Development at Camio, presents the “Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications” tutorial at the May 2022 Embedded Vision Summit. In this session, Agrawal presents real-world deployments of computer vision solutions using Kubernetes and shows how containerization enables continuous AI updates on a

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“Open Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit. Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update

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How to Annotate Your Images Using the MakeSense Tool

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will cover the details of annotating images using the MakeSense annotation tool. Imagine you just got an exciting project where you have to build a program to detect if a door is open

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“Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications,” a Presentation from NVIDIA

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications” tutorial at the May 2022 Embedded Vision Summit. AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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“How Transformers are Changing the Direction of Deep Learning Architectures,” a Presentation from Synopsys

Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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