Sloth is an open-source data labeling tool designed primarily for image and video data in computer vision research. Acting as a versatile framework, it offers dynamic tools for data labeling, allowing users to configure a label tool to meet their specific needs. Sloth provides the flexibility to write custom configurations or use default settings for labeling data.
With its user-friendly interface, Sloth simplifies the image and video data labeling process, making it an ideal tool for creating accurate datasets in computer vision. Its adaptability allows customization of default configurations to establish personalized labeling workflows, making it a valuable asset for diverse labeling tasks in the field of computer vision research.