LabelMe Annotation Tool vs Annotable

Struggling to choose between LabelMe Annotation Tool and Annotable? Both products offer unique advantages, making it a tough decision.

LabelMe Annotation Tool is a Ai Tools & Services solution with tags like image-annotation, computer-vision, bounding-boxes, polygons, object-detection.

It boasts features such as Web-based interface for drawing bounding boxes and polygons on images, Ability to create and manage annotation projects, Tools for labeling objects, scribbles, lines, etc, Support for collaboration - multiple users can work on the same images, Export annotations in multiple formats like JSON, CSV, PASCAL VOC XML, APIs for accessing data programmatically and pros including Free and open source, Intuitive interface, Active community support, Integrates with popular ML frameworks like TensorFlow, PyTorch, Keras, Can handle large annotation projects with many images and users.

On the other hand, Annotable is a Office & Productivity product tagged with notes, organization, opensource, evernote-alternative, onenote-alternative, tagging, categories, formatting, text, images, pdfs.

Its standout features include Organize notes with tags and categories, Annotate images and PDFs, Format notes with text styles and colors, Search through notes quickly, Sync notes across devices, and it shines with pros like Free and open source, Good organization features, Annotate PDFs easily, Available on multiple platforms.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

LabelMe Annotation Tool

LabelMe Annotation Tool

The LabelMe Annotation Tool is an open source image annotation tool developed by MIT for labeling images to generate training data for computer vision algorithms. It allows users to draw polygons and bounding boxes on images to annotate objects.

Categories:
image-annotation computer-vision bounding-boxes polygons object-detection

LabelMe Annotation Tool Features

  1. Web-based interface for drawing bounding boxes and polygons on images
  2. Ability to create and manage annotation projects
  3. Tools for labeling objects, scribbles, lines, etc
  4. Support for collaboration - multiple users can work on the same images
  5. Export annotations in multiple formats like JSON, CSV, PASCAL VOC XML
  6. APIs for accessing data programmatically

Pricing

  • Open Source

Pros

Free and open source

Intuitive interface

Active community support

Integrates with popular ML frameworks like TensorFlow, PyTorch, Keras

Can handle large annotation projects with many images and users

Cons

Limited documentation

Not many customization options for interface

No built-in auto-annotation or active learning capabilities

Only supports 2D image annotations


Annotable

Annotable

Annotable is an open-source alternative to tools like Evernote and OneNote. It helps users organize, annotate, and search notes consisting of formatted text as well as images and PDFs. It has support for tagging and categories as well as various formatting options.

Categories:
notes organization opensource evernote-alternative onenote-alternative tagging categories formatting text images pdfs

Annotable Features

  1. Organize notes with tags and categories
  2. Annotate images and PDFs
  3. Format notes with text styles and colors
  4. Search through notes quickly
  5. Sync notes across devices

Pricing

  • Open Source

Pros

Free and open source

Good organization features

Annotate PDFs easily

Available on multiple platforms

Cons

Limited formatting compared to Evernote

No mobile apps

PDF annotation could be better

No collaboration features