In case the algorithm is learning image classification, labels are in the form of class numbers. Find out what label types you should useįiguring out what type of annotation to use is directly related to what kind of task the algorithm is being taught. □ Pro tip: You can find quality data for your computer vision projects here: 65+ Best Free Datasets for Machine Learning. You can collect and process your own data or go for publicly available datasets which are almost always available with a certain form of annotation. The first step towards image annotation requires the preparation of raw data in the form of images or videos.ĭata is generally cleaned and processed where low quality and duplicated content is removed before being sent in for annotation. Here's a quick tutorial on how to start annotating images. From open-source platforms, such as CVAT and LabelImg for simple annotations to more sophisticated tools like V7 for annotating large-scale data.įurthermore, annotation can be done on an individual or organizational level or can be outsourced to freelancers or organizations offering annotation services. Given the huge variety in image annotation tasks and storage formats, there are various tools that can be used for annotations.
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