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What does it do?

  • Computer Vision
  • Robotics
  • Autonomous Vehicles
  • Data Labeling
  • Machine Learning

How is it used?

  • Access the web app
  • use Python SDK for data labeling.
  • 1. Access web app
  • 2. Use Python SDK
  • 3. Utilize AI models
See more

Who is it good for?

  • Robotics Researchers
  • Data Scientists
  • Autonomous Vehicle Developers
  • Computer Vision Engineers
  • Machine Learning Professionals

What does it cost?

  • Pricing model : One-Time Charge
  • Free version : Yes
  • Free trial : 14 days

Details & Features

  • Made By

    Segments.ai
  • Released On

    2020-08-27

Segments.ai launched in January 2020, is a comprehensive data labeling platform tailored for computer vision applications in robotics and autonomous vehicles. It enhances the annotation of point cloud and image data, accelerating the development of autonomous systems. The platform is accessible as a web application and includes a Python SDK for integration into existing machine learning workflows.

Key Features
-Multi-sensor Labeling: Facilitates simultaneous labeling across different sensor inputs to improve data consistency and quality.
-Python SDK and API Integration: Allows for seamless integration into machine learning pipelines, enabling users to customize their annotation workflows.
-Model-assisted Labeling: Employs machine learning models to suggest annotations, speeding up the labeling process and reducing manual effort.
-Export Capabilities: Supports exporting labeled data to popular machine learning frameworks, aiding in the easy utilization of data in various AI models.
-Superpixel Tool: Automatically recognizes and labels coherent regions within an image, enhancing image segmentation.
-Autosegment Tool: Generates segmentation masks for objects within a drawn box, ideal for detailed and precise labeling tasks.

Supported Integrations
The platform integrates effectively with various machine learning frameworks through its Python SDK, offering versatility for developers in the field of computer vision. Its API and SDK are user-friendly, ensuring quick setup and initiation of labeling projects.

Generative AI and Foundation Model
Segments.ai uses generative artificial intelligence to boost its labeling capabilities, including AI models that suggest annotations and enhance the segmentation process. The platform's AI features rely on advanced machine learning algorithms designed for complex computer vision tasks.

Software Availability
Available primarily as a web application, Segments.ai allows users to access the platform from any location. The Python SDK further extends its utility by enabling integration into existing software environments and workflows.

Pricing and Accessibility
Specific pricing details are not provided, but Segments.ai offers a 14-day free trial, allowing businesses to evaluate the platform's features before committing to a subscription.

Ideal Users
The platform is ideal for computer vision engineers, data scientists, and labeling teams in sectors like robotics and autonomous vehicles. Its robust toolset and integration capabilities are well-suited for professionals aiming to streamline the development and deployment of computer vision models.

Open Source Contributions
Segments.ai contributes to the open-source community with several GitHub repositories related to computer vision and machine learning. These include tools for zero-shot object detection and segmentation, available for public use and contribution.

In summary, Segments.ai is a valuable resource for professionals involved in the development of computer vision systems, offering advanced features and integrations that streamline data labeling and model training processes.

  • Supported ecosystems
    Unknown
  • What does it do?
    Computer Vision, Robotics, Autonomous Vehicles, Data Labeling, Machine Learning
  • Who is it good for?
    Robotics Researchers, Data Scientists, Autonomous Vehicle Developers, Computer Vision Engineers, Machine Learning Professionals

PRICING

Visit site
Pricing model: One-Time Charge
Free version: Yes
Free trial: 14 days

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