This article was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Unlike image classifiers, which simply report on the most important objects within an image, object detectors determine where objects of interest are located, their sizes and class labels within an image. Consequently, object detectors are central […]
DNN-Based Object Detectors Read More +
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.).
How We Cleaned Up PASCAL and Improved mAP By 13% Read More +
This article was originally published at Teledyne FLIR’s website. It is reprinted here with the permission of Teledyne FLIR. There are various 3D sensor options for developing depth perception systems including, stereo vision with cameras, lidar, and time-of-flight sensors. Each option has its strengths and weaknesses. A stereo system is typically low cost, rugged enough
How to Build a Custom Embedded Stereo System for Depth Perception Read More +
This article was originally published at Hasty’s website. It is reprinted here with the permission of Hasty. This article will look at one of the most complex decisions for most organizations starting new AI projects. Should they buy or build the software they’ll use to develop their AI models? We’ll present arguments for both sides
Buy or Build ML Solutions Read More +
This technical article was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Convolutional Neural Networks (CNN) have been dominant in Computer Vision applications for over a decade. Today, they are being outperformed and replaced by Vision Transformers (ViT) with a higher learning capacity. The fastest ViTs are
Transformers in Computer Vision Read More +
This technical article was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Convolutional neural networks (CNNs) still dominate today’s computer vision. Recently, however, networks based on transformer blocks have also been applied to typical computer vision tasks such as object classification, detection, and segmentation, attaining state-of-the-art results
Multilayer Perceptrons (MLP) in Computer Vision Read More +
This technical article was originally published by SmartCow AI Technologies. It is reprinted here with the permission of SmartCow AI Technologies. On March 22th 2022, NVIDIA announced the availability of its new edge computing platform, the Jetson AGX Orin™ developer kit. The production version is being released on Q4 2022 at roughly the same price
Is the New NVIDIA Jetson AGX Orin Really a Game Changer? We Benchmarked It Read More +
This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Transportation monitoring systems, healthcare, and retail have all benefited greatly from intelligent video analytics (IVA). DeepStream is an IVA SDK. DeepStream enables you to attach and detach video streams in runtime without affecting the entire deployment. This
Managing Video Streams in Runtime with the NVIDIA DeepStream SDK Read More +
Autonomous self-driving greenhouse tow-tractors with Cyberworks Robotics retrofit system based on Intel RealSense cameras For Fernlea Flowers, implementing AGV tractors was key to providing a safe working environment for their employees while improving efficiencies and order fulfilment. Retrofitting these vehicles for autonomous driving ensures safe working distances can be maintained without sacrificing efficiency while minimising
Autonomous Self-Driving Technology in Greenhouses and Outdoors Read More +
This article was originally published at OpenFive’s website. It is reprinted here with the permission of OpenFive. Computer vision has made tremendous advances in the last several years due to the proliferation of AI technology. The intersection of big data and massive parallel computing changed the way in which machines are programmed to understand unstructured
Enabling AI Vision at the Edge Read More +
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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