They were not only extremely slow and clunky, but also lacked many key annotation functionalities.
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In 2018, free annotation tools were as incredibly inconvenient as they are today, and it was quite painful using them. During the course of our PhDs, we spent a considerable amount of time working with images, particularly with annotations. The founding team of SuperAnnotate (my brother and I) were PhD students in biomedical imaging and computer vision, respectively.
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However, what you soon start to realize is that free tools are lacking in many areas resulting in slow speeds, disjointed project management, and overall non-intuitive user experience – especially when you consider what we’ve come to expect from software today. These articles are wonderful resources, and I strongly recommend reading them to learn about the different tools available and even try some of them if you have the time. Here are a few examples: Bohemian.ai, Sicara.ai, Wikipedia. There are several other interesting articles that include CVAT and VOTT among the best annotation tools available for free. According to the list, it becomes apparent that CVAT (managed by Intel) and VOTT (managed by Microsoft) are among the most popular free tools for image annotation. The list for image annotation tools can be found here. Probably the most informative website discussing free tools is Awesome Open Source, which ranks open source tools based on the number of GitHub stars each tool has received. Instead of writing a rather long introduction on the universe of free image annotation tools, I will quickly summarize many of the well-written articles, blogs, and websites covering the topic. SuperAnnotate Desktop is closing this gap by providing the fastest all-inclusive software tool for computer vision engineers to complete their annotation tasks. There is a massive functionality gap between free and commercial image annotation tools.
In this post, I will be introducing SuperAnnotate’s new free-to-use desktop app, discuss some of the reasons why we built it, and share more about many of the features which we feel will dramatically increase the speed, accuracy, and efficiency of annotation projects.
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