Viso.ai

JANUARY 9, 2024

Computer Vision technology has rapidly advanced in recent years and has become an important technology in various industries such as security , healthcare , agriculture , smart city , industrial manufacturing , automotive , and more. provides the leading end-to-end Computer Vision Platform Viso Suite. About us: Viso.ai

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Unite.AI

MARCH 5, 2024

Object detection has seen rapid advancement in recent years thanks to deep learning algorithms like YOLO (You Only Look Once). Review of Previous YOLO Versions The YOLO (You Only Look Once) family of models has been at the forefront of fast object detection since the original version was published in 2016.

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Viso.ai

DECEMBER 17, 2024

PaddlePaddle (PArallel Distributed Deep LEarning), is a deep learning open-source platform. It is China’s very first independent R&D deep learning platform. After that, this framework has been officially opened to professional communities since 2016. To learn more, book a demo with our team.

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Viso.ai

MARCH 12, 2024

Today’s boom in computer vision (CV) started at the beginning of the 21 st century with the breakthrough of deep learning models and convolutional neural networks (CNN). In this article, we dive into some of the most significant research papers that triggered the rapid development of computer vision.

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PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

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Towards AI

JULY 19, 2023

Photo by Maud CORREA on Unsplash Computer Vision Using Computer Vision Introduction Crack detection is crucial in monitoring the health of infrastructural buildings. Deep learning algorithms can be applied to solving many challenging problems in image classification. 1030–1033, 2016. Adhikari, O.

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Marktechpost

NOVEMBER 18, 2023

In Australia’s Great Barrier Reef in 2016, bleaching killed 29–50% of the coral. Due to artifacts and ambient noise in the underwater picture, the computer vision system finds it challenging to discriminate between the target item in the foreground and the background.

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Viso.ai

OCTOBER 15, 2024

In the following, we will cover the following: Pose Estimation in Computer Vision What is OpenPose? provides the leading Computer Vision Platform, Viso Suite. Global organizations use it to develop, deploy, and scale all computer vision applications in one place. How does it work? How to Use OpenPose?

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Viso.ai

DECEMBER 4, 2023

As a result, frameworks such as TensorFlow and PyTorch have been created to simplify the creation, serving, and scaling of deep learning models. With the increased interest in deep learning in recent years, there has been an explosion of machine learning tools. PyTorch Overview PyTorch was first introduced in 2016.

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Explosion

NOVEMBER 9, 2016

now features deep learning models for named entity recognition, dependency parsing, text classification and similarity prediction based on the architectures described in this post. You can now also create training and evaluation data for these models with Prodigy , our new active learning-powered annotation tool. Bowman et al.

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Unite.AI

AUGUST 1, 2024

Secure Redact uses advanced machine learning and computer vision techniques to recognize and redact personally identifiable information (PII) in various image and video contexts, such as faces and license plates. Pimloc’s AI models accurately detect and redact PII even under challenging conditions.

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John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role.

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Viso.ai

OCTOBER 7, 2024

billion tons of municipal solid waste was generated globally in 2016 with experts predicting a steep rise to 3.40 This is where computer vision technology can help identify waste, separate it, and ensure its proper disposal. In this article, we will propose computer vision as an effective tool for waste management.

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Artificial Corner

APRIL 19, 2024

Nearly 250 years later, in 2016, Amazon executed a similar stunt. However, the real breakthrough in this AI advancement, which integrated technologies such as Computer Vision, Sensor Fusion, and Deep Learning, relied significantly on about 1000 individuals in India. This approach is necessary and appropriate.

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Viso.ai

FEBRUARY 28, 2023

And why is OpenCV so popular in the Computer Vision Industry? Hence, the world’s leading companies across industries use OpenCV to develop their computer vision systems. What is Computer Vision? Leading organizations use it to build, deploy and scale real-world computer vision applications.

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Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. provides the only end-to-end computer vision application platform, Viso Suite. The software infrastructure is used by leading organizations to gather data, train YOLOv7 models, and deliver computer vision applications.

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Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. We pay our contributors, and we don’t sell ads.

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2018) investigated the vulnerability of deep learning models to adversarial attacks in medical image segmentation tasks, and proposed a method to improve their robustness.

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ML Review

JUNE 4, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). 2016)[ 91 ] You et al.

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Viso.ai

JULY 17, 2024

Image analogies patch-based texture in-filling for artistic rendering – source The field of Neural style transfer took a completely new turn with Deep Learning. With deep learning, the results were impressively good. Here is the journey of NST. Gatys et al. 2015) The research paper by Leon A. Johnson et al.

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Heartbeat

JUNE 14, 2023

Rethinking the inception architecture for computer vision. Proceedings of the IEEE conference on computer vision and pattern recognition. On mixup training: Improved calibration and predictive uncertainty for deep neural networks.” Proceedings of the IEEE international conference on computer vision.

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Pickl AI

AUGUST 22, 2024

Introduction Deep Learning frameworks are crucial in developing sophisticated AI models, and driving industry innovations. By understanding their unique features and capabilities, you’ll make informed decisions for your Deep Learning applications.

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Mlearning.ai

JUNE 16, 2023

The ImageNet dataset, featuring natural images, contains 14,197,122 annotated images organized in 1000 classes and is commonly used as a benchmark for many computer vision models⁸. The common practice for developing deep learning models for image-related tasks leveraged the “transfer learning” approach with ImageNet.

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Viso.ai

DECEMBER 18, 2023

YOLOv8 is the newest model in the YOLO algorithm series – the most well-known family of object detection and classification models in the Computer Vision (CV) field. offers the world’s leading end-to-end no-code Computer Vision Platform Viso Suite. Get a demo.

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ML Review

FEBRUARY 26, 2018

Tasks such as “I’d like to book a one-way flight from New York to Paris for tomorrow” can be solved by the intention commitment + slot filing matching or deep reinforcement learning (DRL) model. Chitchatting, such as “I’m in a bad mood”, pulls up a method that marries the retrieval model with deep learning (DL).

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Viso.ai

JULY 9, 2024

Object detection is one of the crucial tasks in Computer Vision (CV). Computer vision researchers introduced YOLO architecture (You Only Look Once) as an object-detection algorithm in 2015. About Us: At Viso.ai, we power Viso Suite, the most complete end-to-end computer vision platform.

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Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. is a significant benchmark dataset in computer vision and natural language processing. or Visual Question Answering version 2.0,

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Viso.ai

MAY 1, 2024

Deep learning and Convolutional Neural Networks (CNNs) have enabled speech understanding and computer vision on our phones, cars, and homes. Thus, the researchers can collect data in multiple homes, which will, in turn, employ SaaS machine learning, and will control the deployed robots. Stone and R. Brooks et al.

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Lexalytics

APRIL 5, 2021

They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today. For example, Dean Pomerleau used them to create a system that learned to drive a car [ 12 ]. (I The graph below shows the trend of publications in machine learning.

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Viso.ai

NOVEMBER 27, 2024

YOLO (You Only Look Once) is a family of real-time object detection machine-learning algorithms. Object detection is a computer vision task that uses neural networks to localize and classify objects in images. About us : Viso Suite is the complete computer vision for enterprises.

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Mlearning.ai

MARCH 2, 2023

Conclusion: BERT as Trend-Setter in NLP and Deep Learning References I. Preliminaries: Transformers and Unsupervised Transfer Learning This section presents the most important theoretical background to understand BERT. Benchmark Results V. Contributions of BERT V.1 1 Impact V.2 3 Applications VI. arXiv:1804.07461. [10]

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Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. We mostly replicated the preprocessing logic from our 2016 post, to keep the comparison simple – but all preprocessing steps can now be easily customized. assert doc[3:6].text

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The Stanford AI Lab Blog

OCTOBER 13, 2021

Deep learning face attributes in the wild. In Proceedings of the IEEE International Conference on Computer Vision, pp. In IRE Transactions on Electronic Computers, 1957. ↩ Yarin Gal and Zoubin Ghahramani. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning.

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right).

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Sebastian Ruder

JANUARY 24, 2022

In computer vision, supervised pre-trained models such as Vision Transformer [2] have been scaled up [3] and self-supervised pre-trained models have started to match their performance [4]. In Advances in Neural Information Processing Systems 29 (NIPS 2016). In Proceedings of NAACL 2021. De Sa, C., Khashabi, D.,

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Unite.AI

JULY 14, 2023

As I delved into the academic field of Deep Learning, I saw major breakthroughs happening simultaneously in image and text processing. DeepAI began as a website in 2016, offering the first AI text to image generator. We have since discontinued our computer vision product and shifted our focus entirely on AI Generation tools.

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AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. Powered by pluto.fi techxplore.com Sponsor Your AI investing Co-Pilot With Pluto you can: ?

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