![]() ![]() ![]() Since a large pool of workers is doing the image annotation tasks simultaneously, it takes significantly less time than doing the process in-house. High-quality data annotation is a time-consuming 2 process crowdsourcing can help speed things up. In another example, a study 1 on image annotation for nucleus detection and segmentation in computational pathology, used crowdsourcing to save a significant amount of money and time. For instance, if a startup wants to build an image recognition system for identifying dog breeds, it can save money and time in the long run by crowdsourcing image annotation tasks. In crowdsourcing, a large pool of remote workers can annotate images at a fraction of the cost of a full-time in-house employee. It can help reduce the cost of manual annotation, which can be expensive when done in-house since it requires the development and maintenance of the platform. One of the major benefits of crowdsourcing image annotation is that it can be a cost-effective solution. Top 5 benefits of crowdsourcing image annotation 1. In return, the company provides the public with some sort of compensation, typically monetary. Through crowdsourcing, a company can post image annotation tasks in the form of micro-tasks or jobs for the public to complete them. By leveraging the power of the crowd, businesses can complete their image labeling and annotating tasks for a variety of use cases, including machine learning, computer vision, and image recognition applications. How can image annotation be crowdsourced?Ĭrowdsourcing image annotation is an effective way to annotate and label large volumes of image data with speed and accuracy. ![]() Some best practices to consider while working with a crowdsourcing service provider.Why and when working with a crowdsourcing service provider can be beneficial?.What are the benefits of crowdsourcing image annotation?.How can image annotation tasks be crowdsourced?.If your business is one of the latter ones and does not wish to spend a tidy sum on expensive annotation tools or hire a team, this article is for you.Ĭrowdsourcing image annotation can help business leaders streamline the annotation phase of their projects. Annotating such large volumes of data can be expensive and time-consuming, and while some companies have the resources to buy expensive automated tools and hire a dedicated team, others do not. To build and implement such solutions, businesses need a lot of visual data, which needs to be collected and annotated. The global market for computer vision (CV) or image recognition-enabled technologies is rapidly growing. ![]()
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