The accuracy of your AI model is directly correlated to the quality of data used to train it. Learn why data labeling is an integral part of data preparation workflow and start building reliable AI models.
Here's how Machine Learning and Computer Vision can help AI-first retailers improve customer experience, increase profitability, and stay ahead of the competition.
Picking the right tool for your training data annotation is not an easy task—that's why knowing all available options is crucial for making the right decision. Take a look at our shortlist of the best Scale AI alternatives.
What makes a good bounding box annotation tool? Take a look at our cherry-picked list of nine essential features that every bounding box tool should offer.
Data is the soul of every machine learning model. Here's why the world’s greatest machine learning teams spend more than a whopping 80% of their time improving training data.
Discover the 13 most popular image annotation tools of 2021. Compare their features and pricing, and choose the best data annotation tool for your needs.
The use of computer vision in medical imaging analysis has a plethora of benefits. The downside? Limited access to data. Check out this list of open healthcare datasets to find data faster.
What to pay attention to and what to avoid when annotating with bounding boxes? Follow this set of best practices to ensure your model's highest accuracy.
What is the best place to find computer vision datasets? Check out this list of 20+ curated image and video datasets and start annotating data and training your models today.
Here's everything you need to know about classical Transfer Learning and Deep Transfer Learning. Read this guide improve your model training and achieve better performance in less time.
From early disease detection through enhanced medical decision-making to better patient outcomes—here's how AI technology is transforming the healthcare industry.
What are Neural Networks and how do they work? Learn about different Artificial Neural Networks architectures, their characteristics, and limitations.
The field of Deep Reinforcement Learning has literally exploded in the past few years and it found applications in industries such as manufacturing, finance, and healthcare. Read this article to learn how deep Reinforcement Learning works.
Neural Style Transfer is a technique that allows us to generate an image with the same "content" as a base image, but with the "style" of our chosen picture. Learn how it works and what are its real-world applications.
Semantic Segmentation is the task of assigning a class label to every pixel in the image. Read this guide to explore the most common approaches to Semantic Segmentation and its real-world applications.
This is the only guide you need to master data annotation for machine learning. Use V7's tips and tricks to speed up your labeling and start building machine learning models that don't suck.
Have a look at this side-by-side comparison between Supervised and Unsupervised Learning and find out which approach is better for your use case.
What's the optimal machine learning data split ratio and how to achieve it? Learn how to avoid overfitting and start building reliable machine learning models in hours, not weeks.
Artificial Intelligence in sports is emerging all over the industry, covering post-game analysis, in-game activity - and even the fan experience. Here are some of the most exciting AI use cases in sports that you should know about. Read on!
From automated pest and plant disease detection to intelligent spraying and produce sorting—here's how Computer Vision is transforming the food and agriculture sector.
Check out the hottest computer vision applications in the most prominent industries including agriculture, healthcare, transportation, manufacturing, and retail.
What is image segmentation and how does it work? Learn about different segmentation techniques, collect data, and start working on your computer vision projects today.
What is an autoencoder and how does it work? Learn about most common types of autoencoders and their applications in machine learning.
The next generation of machines is here—and they can learn autonomously how to perform human tasks. Read this guide to understand the most important machine learning concepts.
How to land a data scientist job of your dreams? Check out the most popular data science interview questions and answers to nail your next job interview.
When is the right time to start annotating data for machine learning? Read this short guide to see whether you have all the tools and resources you need to start working on your machine learning projects.
From self driving cars, through defect detection to medical imaging — here's how computer vision is helping modern businesses to solve complex visual tasks.
From handwritten content to printed text and image-only digital documents—learn how to use Optical Character Recognition to convert any kind of image containing written text into machine-readable text data.
What is image classification and why is it important? Check out this beginner's guide to image recognition and build your own image classifier today.
How to improve your data quality to build more accurate AI models? Learn about data preprocessing steps you need to take in order to convert raw data into the processed form.
What is data cleaning and how to do it properly? Learn what steps you need to take to prepare your machine learning data and start building reliable machine learning models today.
Save time searching for quality training data for your machine learning projects, and explore our collection of the best free datasets.
Building a simple computer vision model is not rocket science—all you need is access to quality data and a reliable training data platform to get started. Check out our ideas for computer vision projects for beginners and start building!
Computer vision is currently one of the hottest fields of artificial intelligence—and object detection played a key role in its rapid development. This guide will help you understand basic object detection concepts.
What is YOLO and how does it work? Learn about different YOLO versions and start training your own object detection models using personalized datasets of your choice.
Here's everything you need to know about Human Pose Estimation and its real-world applications. Learn about different HPE approaches and check out the most prominent research papers in this field.
What is a neural network activation function and how does it work? Explore twelve different types of activation functions and learn how to pick the right one.
What is a Convolutional Neural Network and how does it work? Learn about the history of CNNs and the most popular Convolutional Networks Architectures.
We're telling the stories of teams that pioneer neural networks to solve any visual task. You can join them by signing up to V7 - the only platform to develop AIs for aony computer vision use case, and monitor them in production.You'll be able to develop your own training data and models, or apply pre-existing AI models to solve new use cases.Learn about V7