#Rectlabel price Offline
#Rectlabel price windows

Project management: Nothing too advanced in terms of dataset management and users but their interface is one of the most efficient and precise ones for polygon annotation because it allows you to see the line of the polygon and nothing else.The annotations can be downloaded as one JSON file containing all annotations, or as one CSV file, and can be uploaded afterwards if there is a need to review them. Also has the option of adding object and image attributes/tags. Functionalities: Offers a lot more tools, including dots, lines, polygons, circles and ellipses (only platform in this list supporting circles and ellipses!).In its most recent version, it also offers a wide variety of video labeling tools.

#Rectlabel price Offline

It is available as an online interface and can also be used offline as an HTML file. VGG is an open-source tool that, just like LabelImg, can do an amazing job for straightforward tasks that do not require project management. The simple offline interface makes the annotation process pretty fast, even though it does not support many hotkey shortcuts.

Project management: It has virtually no project management properties but it does allow an easy way to import and visualize annotations and correct them if necessary.

The format is PascalVoc XML and annotation files are saved separately for each image in the source folder.

Functionalities: only supports bounding boxes (there is also a version in the RotatedRect formatand an optimized version for one-class tagging) but nothing more advanced.

#Rectlabel price windows

LabelImg is an open source image labeling tool that has pre-built binaries for Windows so it’s extremely easy to install.

Variety of functions, tools and formats.

At Humans in the Loop we are constantly on the lookout for the best image annotation platforms that offer multiple functionalities, project management tools and optimization of the annotation process (even 1 second less per image matters when you have to annotate 50k images!).īased on our experience with each one of these platforms, we are sharing here our honest reviews, hoping that this would be of use for data scientists looking to manually label their data.