Segments AI
Segments.ai helps businesses with AI-powered solutions for data annotation.
Overview
Segments.ai is a robust platform designed to streamline the process of data annotation for machine learning projects. It focuses on improving efficiency and accuracy in preparing data for AI applications. By providing a suite of tools, Segments.ai enables teams to work collaboratively and effectively on their data sets.
The platform caters to various industries, including healthcare, automotive, and retail, making it versatile for different use cases. Users can easily tag images, videos, and other forms of data, facilitating the training of machine learning models. Segments.ai also offers features that support both automated and manual annotation, providing flexibility to meet diverse project requirements.
With a user-friendly interface and powerful analytics, Segments.ai enhances the overall productivity of data annotation tasks. It allows for real-time collaboration among team members, ensuring that projects stay on track and deadlines are met. As AI continues to evolve, tools like Segments.ai are invaluable for businesses seeking to leverage data for effective machine learning outcomes.
Pricing
| Plan | Price | Description |
|---|---|---|
| Free trial | Free Trial (Per Year) | - |
| Team Plan | $9,600.00 (1 License Per Year) | Ideal for companies building their first datasets with a data-centric approach Includes 3,600 hours/yr of labeling usage (equivalent to $2.67/hour) |
| Scale Plan | Contact Us (1 License Per Year) | Ideal for advanced setups requiring multi-sensor labeling. Includes 20,000 hours/yr of labeling usage. |
| Enterprise Plan | Contact Us (1 License Per Year) | Ideal for advanced automation and custom solutions. Includes +20,000 hours/year of labeling usage. |
Key features
Automated Annotation
Segments.ai uses AI algorithms to speed up the data annotation process, reducing the time needed for manual tagging.
Real-time Collaboration
Team members can work together in real-time, making it easier to share insights and updates on projects.
Custom Tagging
Users can create custom tags that fit their specific project needs, enabling flexibility in data annotation.
Support for Multiple Data Types
The platform supports images, videos, and text, making it adaptable to various types of data sets.
Detailed Analytics
Segments.ai provides analytics tools to track the progress of annotation tasks and monitor team performance.
Quality Control
Built-in quality assurance features help ensure that annotations meet the required standards for accuracy and consistency.
User-friendly Interface
The platform is designed to be easy to navigate, making it accessible for both tech-savvy and novice users.
Integration Capabilities
Segments.ai can be integrated with other tools and platforms to streamline workflows and enhance productivity.
Pros & Cons
Pros
- Saves Time
- Collaboration
- Flexible
- High Accuracy
- User-friendly
Cons
- Cost
- Learning Curve
- Limited Offline Functionality
- Data Privacy
- Dependent on AI
Feature Ratings
Based on real user reviews, here's how users rate different features of this product.
Deployment
Allows users to input models built in a variety of languages.
Allows users to choose the framework or workbench of their preference.
Records versioning as models are iterated upon.
Provides a way to quickly and efficiently deploy machine learning models.
Offers a way to scale the use of machine learning models across an enterprise.
Allows users to input models built in a variety of languages.
Allows users to choose the framework or workbench of their preference.
Records versioning as models are iterated upon.
Provides a way to quickly and efficiently deploy machine learning models.
Offers a way to scale the use of machine learning models across an enterprise.
Can integrate well with other software.
Management
Records and organizes all machine learning models that have been deployed across the business.
Tracks the performance and accuracy of machine learning models.
Provisions users based on authorization to both deploy and iterate upon machine learning models.
Allows users to manage model artifacts and tracks which models are deployed in production.
Records and organizes all machine learning models that have been deployed across the business.
Tracks the performance and accuracy of machine learning models.
Provisions users based on authorization to both deploy and iterate upon machine learning models.
Quality
As reported in 12 Segments.ai reviews. Gives user a metric to determine the quality of data labelers, based on consistency scores, domain knowledge, dynamic ground truth, and more.
Based on 12 reviewsEnsures that labeling tasks are accurate through consensus, review, anomaly detection, and more. This feature was mentioned in 11 Segments.ai reviews.
Based on 11 reviewsBased on 11 Segments.ai reviews. Ensures the data is of a high quality as compared to benchmark.
Based on 11 reviewsGives user the ability to review and edit labels.
Automation
Uses models to predict the correct label for a given input (image, video, audio, text, etc.).
Image Annotation
Based on 12 Segments.ai reviews. Has the ability to place imaginary boxes or polygons around objects or pixels in an image.
Based on 12 reviewshas the ability to detect objects within images. 11 reviewers of Segments.ai have provided feedback on this feature.
Based on 11 reviewsTrack unique object IDs across multiple video frames
Supports a range of different types of images (satelite, thermal cameras, etc.)
Natural Language Annotation
Gives user the ability to tag text based on its sentiment.
Operations
Control model usage and performance in production
Deploy mission-critical ML applications where and when you need them
Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.
Recognition Type
Provides the ability to recognize various types of objects in various scenarios and settings.
Provides the ability to recognize texts.
Processes video, or image sequences, to track objects or individuals.
Provides the ability to detect objects, humans, etc. in video footage.
Labeling
Allows users to train model and provide feedback regarding the model's outputs.
Allows users to select given items in an image for the purposes of image recognition.
Provides the ability to build custom image detection models.
Rating Distribution
Screenshots
User Reviews
View all reviews on G2recommended annotation tool
What do you like best about Segments.ai?
I am a master's student, and I couldn't find a good tool for 3D point cloud annotation until I found Segments.ai. They generously provided me with a free academic license. This tool was exactly what I needed. It is easy to use, accepts general formats like PCD (not just BIN formats), and they send helpful emails and Google Colab notebooks.
What do you dislike about Segments.ai?
There isn't much to dislike about Segments.ai. I wish they made more videos on YouTube as they are very helpful.
What problems is Segments.ai solving and how is that benefiting you?
Segments.ai solves the problem of 3D point cloud annotation, which is essential for my research and projects.
This is the best segmentation tool that I have worked with so far
What do you like best about Segments.ai?
The best thing about segments.ai is how fast one can label images. With other tools that I have used it could take up to 5 minutes to label one image. But with segments.ai it can take as little as 10-20 seconds to label one image with several classes.
The re...
Quite fast and intuitive annotation tool
What do you like best about Segments.ai?
An easy interface and export function. Free academic access.
What do you dislike about Segments.ai?
It would be nice to have options to export annotations straight from the web version, without using Pythin SDA.
What problems is Segments.ai solving and how ...
Extremely useful tool for 2D and 3D labeling!
What do you like best about Segments.ai?
I love all its features and how easy it is for both 2D and 3D labelling. The dataset creation and export is simple and intuitive. Labelling, especially in 2D, relies on many tools (superpixels, brushes, etc) that make the experience easy and straightforward t...
It is transforming Data Annotation
What do you like best about Segments.ai?
Versatile Annotation Options: The diverse range of annotation types, from bounding boxes to keypoints, empowers me to accurately label various types of data, ensuring comprehensive annotation for my projects.
AI-Assisted Labeling: The AI-powered pre-labeling...
Company Information
Alternative Image Recognition tools
FAQ
Here are some frequently asked questions about Segments AI.
Segments.ai is a platform that helps teams annotate data for machine learning projects quickly and accurately.
You can annotate images, videos, and text data using Segments.ai.
Yes, Segments.ai is designed with a user-friendly interface that is accessible for all skill levels.
Absolutely! The platform allows real-time collaboration among team members.
Yes, Segments.ai has built-in quality assurance features to ensure accurate annotations.
Currently, Segments.ai is primarily web-based and does not have a dedicated mobile application.
Pricing for Segments.ai varies based on the features you need and the size of your team.
Yes, you can create custom tags that meet your specific project requirements.
