Advancements in computer vision have drastically transformed how we interact with the world. Once just the stuff of science fiction, game-changing technologies like self-driving cars, virtual reality, and cashier-less stores are now commonplace, all thanks to computer vision. However, creating these technologies is far from simple. For artificial intelligence (AI) and machines to accurately “see” images and videos, they go through a particular process called image tagging.
Many industries heavily rely on quality image tagging—tons of it—to train machine learning applications to make the most accurate identifications predictions possible. This is a time-consuming and laborious process, so it is ideal to resort to proper image tagging services to ensure on-time completion and sustained success.
Image tagging services describe the process of identifying and labeling the contents of an image. This can be done manually by someone looking at the image and manually adding tags, or done automatically using machine learning technology. Due to the complexity of image data, image tagging involves a lot of techniques like object, facial, and scene recognition to make it easier for machine learning models to read and analyze image data.
Image tagging makes it easier to organize image data using predefined labels and categories, making them searchable for businesses and individuals.
Image tagging services have various applications. Here are some of its familiar use cases:
E-commerce: Shopping online wouldn’t be accessible if it weren’t for image tagging services. Online retailers tag their product images with relevant keywords such as color, size, and brand to make searchability easier and increase sales.
Social media: A trending hashtag is just one of the many uses of AI image tagging in social media. It improves your brand content’s searchability and reach.
Digital asset management: Tagging images with data like date, location, and creator helps to manage digital asset libraries and find specific assets easily.
Advertising: By analyzing and tagging ads with relevant keywords, topics, and demographics, marketers can optimize their advertising campaigns. This can help target the right audience and increase ad effectiveness.
Every AI project needs large amounts of manually tagged data to become successful. Without proper resources and staff, it will take a significant amount of time for a company to launch a project, which is why most businesses outsource to image tagging companies.
Outsourcing image tagging offers businesses, marketers, and individuals several advantages. Here are some of the key benefits of partnering with image tagging companies:
Each AI Image tagging project is unique, and some need complex requirements. Therefore, outsourcing companies look into various factors that impact image annotation pricing:
Given these factors affecting costs, image tagging companies offer various pricing models for their clients to consider:
Dubbed by the Everest Group as the World’s Fastest Business Process (Outsourcing) Service Provider in 2022 and highly rated in the Gartner Peer Insights Review, TaskUs offers a wide range of services to power computer vision, natural language processing, and content relevance. We specialize in providing quality data labeling and image tagging services for various tech industries.
One of our clients, a leading US-based autonomous vehicle company, partnered with Us to help enhance their AI training by scaling their image annotation needs.
Our partners can easily scale their data annotation program without sacrificing quality. By providing high-quality human talent combined with our people-first principles, we drive excellent results and exceed client expectations.