⚡️📝💡Platforms for marking data for computer vision tasks
VoTT is a free, open-source image annotation tool developed by Microsoft. It provides comprehensive support for creating datasets and validating video and image-based object detection models.
LabeIimg is a graphical image annotation tool for labeling objects using Bounding Boxes. It is written in Python. Labeled data is exported as XML files in PASCAL VOC format.
Labelme is an online data annotation tool created by MIT's Computer Science and Artificial Intelligence Laboratory. Labelme supports six different types of annotations: polygons, rectangles, circles, lines, dots and linear stripes.
DataLoop is a universal cloud-based annotation platform with built-in tools and automation for creating high-quality training datasets.
Supervise.ly is a web platform for annotating images and videos with your community. Researchers and large groups can annotate and experiment with datasets and neural networks.