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What is Segments.ai?
Segments.ai delivers a comprehensive solution for annotating multi-sensor data by integrating 2D and 3D point cloud labeling into a single interface. The platform boasts impressive capabilities such as automated object tracking, intelligent cuboid propagation, and real-time interpolation, which facilitate faster and more precise labeling of intricate datasets. Specifically designed for sectors like robotics and autonomous vehicles, it streamlines the annotation process for data that relies heavily on various sensors. By merging 3D information with 2D visuals, Segments.ai significantly improves the efficiency of the labeling process while maintaining the high standards necessary for effective model training. This innovative approach not only simplifies the user experience but also enhances the overall data quality, making it invaluable for industries reliant on accurate sensor data.
What is RectLabel?
An offline image annotation tool is designed to support both object detection and segmentation tasks effectively. Users can create various shapes such as polygons, cubic bezier curves, line segments, and points for accurate labeling of images. It also enables the drawing of oriented bounding boxes, particularly useful for aerial imagery analysis. Additionally, the tool allows users to label key points that can be interconnected by skeletons and offers the capability to paint pixels using brushes or superpixels. It ensures compatibility with different machine learning formats by supporting both PASCAL VOC XML and YOLO text reading and writing. Furthermore, users have the option to export their annotated data to CreateML for object detection and image classification tasks, as well as to COCO, Labelme, YOLO, DOTA, and CSV formats. The tool accommodates diverse project requirements by enabling the export of indexed color mask images and grayscale mask images. Users can easily modify settings related to objects, attributes, hotkeys, and fast labeling features to enhance their workflow efficiency. A customizable label dialog allows for smooth integration with attributes, and one-click buttons streamline the selection of object names. With an impressive auto-suggest feature that considers over 5000 object names, users can search for objects, attributes, and image names conveniently in a gallery view. Automatic labeling is facilitated through Core ML models, and the tool includes OCR technology for automatic text recognition. It also offers features to convert videos into image frames and execute image augmentation tasks. Language support covers English, Chinese, Korean, and 11 additional languages, thus catering to a wide-ranging user base and boosting productivity across various regions.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
Microsoft Azure
PyTorch
Python
TensorFlow
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Hugging Face
Microsoft Azure
PyTorch
Python
TensorFlow
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Segments.ai
Date Founded
2020
Company Location
Belgium
Company Website
segments.ai
Company Facts
Organization Name
RectLabel
Company Location
United States
Company Website
rectlabel.com
Categories and Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management