Image Annotation Tools

Here is a list of image annotation tools. In my opinon, the best so far for bounding box id MakeSense.AI

Free tools

• MakeSense.AI github: https://github.com/SkalskiP/make-sense
• Label Studio (https://labelstud.io/)
• LabelMe (https://github.com/CSAILVision/LabelMeAnnotationTool)
• LabelImg (https://github.com/tzutalin/labelImg)
• VGG image annotator (https://gitlab.com/vgg/via)
• Scalabel (https://scalabel.ai/)
• DeepLab2 (https://github.com/google-research/deeplab2)
• imglab (https://github.com/NaturalIntelligence/imglab)
• Computer Vision Annotation Tool (CVAT) (https://github.com/openvinotoolkit/cvat)

Paid tool

• V7
• RectLabel (https://rectlabel.com/) OSX only
• MakeML (OSX only)
• Labelbox (https://labelbox.com/)
• BeaverDam video annotation tool (https://github.com/antingshen/BeaverDam)
• Scale AI
• SuperAnnotate
• DataLoop
• Playment (https://www.playment.io/)
• Supervise.ly
• Hive Data
• Plainsight (https://plainsight.ai)

Reviews

• 5 Tools to Create a custom Object Detection Dataset (LabelImg, VGG Image Annotator, MakeML, Labelbox, RectLabel)
• How to label Images for Object Detection, step by step (LabelImg)
• What is the best image labeling tool for object detection? (LabelMe, Imglab, Semantic Segmentation Editor, BeaverDam)