Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.
Description
SpatialExplorer serves as the central component of Phoenix LiDAR’s desktop software suite, designed to be highly adaptable to meet your data needs. It begins with data acquisition, providing users with tools for real-time streaming of point clouds, monitoring telemetry, and ensuring quality control in the field. After data is collected, its processing capabilities allow users to take command of their datasets seamlessly. Transforming raw data into geospatially accurate and polished outputs, SpatialExplorer stands out with its ability to be enhanced through various plug-in modules that introduce advanced features essential for data collection and production phases. The software boasts optimized rendering speed and quality, along with a cloud edit history that allows users to revert changes easily. It supports large ortho mosaics for effective display and colorization, and offers reorganized toolbars designed to enhance workflow efficiency. Furthermore, a newly implemented progress dialog provides real-time estimates and resource load information, making it easier to manage projects. Notably, users can visualize thousands of images in 3D, elevating their analytical capabilities. This comprehensive suite ultimately ensures that users have the necessary tools for effective geospatial data management and visualization.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Scale AI
Founded
2016
Country
United States
Website
scale.com/data-engine
Vendor Details
Company Name
Phoenix LiDAR Systems
Founded
2013
Country
United States
Website
phoenixlidar.com/spatialexplorer/
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No