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!
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.
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.
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.
From self driving cars, through defect detection to medical imaging — here's how computer vision is helping modern businesses to solve complex visual tasks.
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 are Neural Networks and how do they work? Learn about different Artificial Neural Networks architectures, their characteristics, and limitations.
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.
Check out the hottest computer vision applications in the most prominent industries including agriculture, healthcare, transportation, manufacturing, and retail.
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.
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 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 image segmentation and how does it work? Learn about different segmentation techniques, collect data, and start working on your computer vision projects today.
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.
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.
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.
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.
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.
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 is an autoencoder and how does it work? Learn about most common types of autoencoders and their applications in machine learning.
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.
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.
Discover 13 most popular image annotation tools of 2021. Compare their features and pricing, and choose the best data annotation tool for your needs.
What is a Convolutional Neural Network and how does it work? Learn about the history of CNNs and the most popular Convolutional Networks Architectures.
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 image classification and why is it important? Check out this beginner's guide to image recognition and build your own image classifier today.
Save time searching for quality training data for your machine learning projects, and explore our collection of the best free datasets.
From early disease detection through enhanced medical decision-making to better patient outcomes—here's how AI technology is transforming the healthcare industry.
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.
AI and machine learning offer the AI-first insurers a competitive edge over their rivals. Here is an overview of the latest advancements in the AI insurance space and their real-world applications.
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