Annotable vs LabelMe Annotation Tool

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

Annotable is a Office & Productivity solution with tags like notes, organization, opensource, evernote-alternative, onenote-alternative, tagging, categories, formatting, text, images, pdfs.

It boasts features such as 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 pros including Free and open source, Good organization features, Annotate PDFs easily, Available on multiple platforms.

On the other hand, LabelMe Annotation Tool is a Ai Tools & Services product tagged with image-annotation, computer-vision, bounding-boxes, polygons, object-detection.

Its standout features include 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 it shines with pros like 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.

Feature	Annotable	LabelMe Annotation Tool
Overall Score	N/A	N/A
Primary Category	Office & Productivity	Ai Tools & Services

Product Overview

Annotable

Description: 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.

LabelMe Annotation Tool

Description: 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.

Key Features Comparison

Annotable Features

• 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

LabelMe Annotation Tool Features

• 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

Pros & Cons Analysis

Annotable

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

LabelMe Annotation Tool

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

Pricing Comparison

Annotable

• Open Source

LabelMe Annotation Tool

• Open Source