Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. Object detection is a key field in artificial intelligence, allowing computer systems to “see” their environments by detecting objects in visual images or videos.

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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

Computer Vision 52

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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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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. Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. 1030–1033, 2016. Adhikari, O.

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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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PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

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Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. In this article, we will provide the basics of how YOLOv7 works and what makes it the best object detector algorithm available today. provides the only end-to-end computer vision application platform, Viso Suite.

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Unite.AI

AUGUST 5, 2024

I received my masters in Civil/Environmental Engineering from Stanford University in 2016. We use three main different types of algorithms: image clustering, segmentation, and anomaly detection. PowerAI uses computer vision and machine learning to automate a huge portion of the fault detection process.

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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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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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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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Google Research AI blog

JANUARY 18, 2023

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Let’s get started!

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Viso.ai

DECEMBER 4, 2023

TF Lite is optimized to run various lightweight algorithms on various resource-constrained edge devices, such as smartphones, microcontrollers, and other chips. PyTorch Overview PyTorch was first introduced in 2016. The TensorFlow Lite implementation is specially designed for edge-based machine learning.

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Viso.ai

OCTOBER 15, 2024

YOLO (You Only Look Once) is a state-of-the-art (SOTA) object-detection algorithm introduced as a research paper by J. About us : Viso Suite is an End-to-End Computer Vision Infrastructure that provides all the tools required to train, build, deploy, and manage computer vision applications at scale. Redmon, et al.

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Viso.ai

DECEMBER 17, 2024

After that, this framework has been officially opened to professional communities since 2016. It offers end-to-end functionalities for both artificial intelligence and computer vision tasks. Use Cases Frequently Asked Questions (FAQs) About us: Viso Suite is the end-to-end computer vision solution for enterprises.

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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). The illustration shows how a word is generated at every time step.

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Viso.ai

FEBRUARY 27, 2024

Since its inception in 2015, the YOLO (You Only Look Once) object-detection algorithm has been closely followed by tech enthusiasts, data scientists, ML engineers, and more, gaining a massive following due to its open-source nature and community contributions. YOLOv2 Released in 2016, it could detect 9000+ object categories.

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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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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., Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al.,

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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. The family YOLO model is continuously evolving.

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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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Viso.ai

JULY 17, 2024

Background and History of Neural Style Transfer NST is an example of an image styling problem that has been in development for decades, with image analogies and texture synthesis algorithms paving foundational work for NST. Fast Style Transfer (2016) While the previous model produced decent results, it was computationally expensive and slow.

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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. In the subfield of computer vision, the competition for cutting-edge object detection is fierce. Ability to detect objects in images quickly and dependably.

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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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Snorkel AI

MARCH 1, 2023

It is based on GPT and uses machine learning algorithms to generate code suggestions as developers write. 2016) This paper introduced DCGANs, a type of generative model that uses convolutional neural networks to generate images with high fidelity. Microsoft Microsoft launched its Language Understanding Intelligent Service in 2016.

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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. These offer larger power than the super-computers of 10 years ago. Low-cost 3D sensors, driven by gaming platforms, have enabled the development of 3D perception algorithms.

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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. A VQA system takes free-form, text-based questions about an input image and presents answers in a natural language format.

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Lexalytics

APRIL 5, 2021

This would change in 1986 with the publication of “Parallel Distributed Processing” [ 6 ], which included a description of the backpropagation algorithm [ 7 ]. In retrospect, this algorithm seems obvious, and perhaps it was. We were definitely in a Kuhnian pre-paradigmatic period. It would not be the last time that happened.)

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Sebastian Ruder

JANUARY 19, 2021

More recently, contrastive learning gained popularity in self-supervised representation learning in computer vision and speech ( van den Oord, 2018 ; Hénaff et al., 2016 ; Webster et al., 8) Image Transformers The Vision Transformer ( Dosovitskiy et al., 2020 ; Wallace et al., 2020 ; Carlini et al.,

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Pickl AI

AUGUST 22, 2024

First released in 2016, it quickly gained traction due to its intuitive design and robust capabilities. In industry, it powers applications in computer vision, natural language processing, and reinforcement learning. Further Read: Learn Top 10 Deep Learning Algorithms in Machine Learning.

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Viso.ai

MARCH 11, 2024

Object detection is a fundamental task in computer vision, and YOLOX plays a fair role in improving it. This was done by using a region proposal algorithm to generate potential bounding boxes (regions) in the image. YOLOX brings with it an anchor-free design, and decoupled head architecture to the YOLO family.

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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. al, 2015) is a twist on the word2vec family of algorithms that lets you learn more interesting word vectors. That work is now due for an update. assert doc[3:6].text

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Mlearning.ai

MARCH 2, 2023

These publications either present small improvements of BERT, such as ALBERT and RoBERTa, or apply the principles behind BERT in other application areas, such as BEiT and ClipBERT in computer vision. In addition, it is known that Google has integrated BERT into its search algorithm to better understand search queries [17].

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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 mathematics, ML was shown to be able to guide the intuition of mathematicians in order to discover new connections and algorithms [77].

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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 Try Pluto for free today] pluto.fi global investment arm, bringing the total capital raised to $165 million.

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Unite.AI

JULY 14, 2023

What intrigued me was the possibility that advancements in algorithms and compute power would lead to consumer-ready results. 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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ML Review

MAY 3, 2018

Recent Intersections Between Computer Vision and Natural Language Processing (Part One) This is the first instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). 2016) — “ LipNet: End-to-End Sentence-level Lipreading.” [17]

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