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Ratings and Reviews 0 Ratings
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What is SpatialExplorer?
SpatialExplorer is the key component of Phoenix LiDAR's desktop software suite, crafted to be extremely flexible in accommodating various data requirements. The process commences with data acquisition, offering users tools for the real-time streaming of point clouds, telemetry monitoring, and field quality control. Once the data is gathered, its processing features empower users to handle their datasets with ease. By converting raw data into geospatially precise and refined outputs, SpatialExplorer distinguishes itself with the option to enhance functionality through diverse plug-in modules that add vital features for both data collection and production phases. The software is designed for optimized rendering speed and quality, complemented by a cloud edit history that enables users to reverse changes effortlessly. It also supports large ortho mosaics for effective visual display and colorization, featuring reorganized toolbars that improve workflow efficiency. In addition, a newly introduced progress dialog offers real-time estimates and resource load information, simplifying project management. Users can visualize thousands of images in 3D, significantly enhancing their analytical potential. This robust suite ultimately equips users with comprehensive tools for proficient geospatial data management and visualization while fostering a seamless user experience throughout the workflow. Moreover, the continual updates and improvements ensure that users remain at the forefront of technological advancements in geospatial analysis.
What is Scale Data Engine?
The Scale Data Engine equips machine learning teams with the necessary tools to effectively enhance their datasets. By unifying your data, verifying it against ground truth, and integrating model predictions, you can effectively tackle issues related to model performance and data quality. You can make the most of your labeling budget by identifying class imbalances, errors, and edge cases within your dataset through the Scale Data Engine. This platform has the potential to significantly boost model performance by pinpointing and addressing areas of failure. Implementing active learning and edge case mining allows for the efficient discovery and labeling of high-value data. By fostering collaboration among machine learning engineers, labelers, and data operations within a single platform, you can assemble the most impactful datasets. Furthermore, the platform offers straightforward visualization and exploration of your data, facilitating the rapid identification of edge cases that need attention. You have the ability to closely track your models' performance to ensure that you are consistently deploying the optimal version. The comprehensive overlays within our robust interface provide an all-encompassing view of your data, including metadata and aggregate statistics for deeper analysis. Additionally, Scale Data Engine supports the visualization of diverse formats such as images, videos, and lidar scenes, all enriched with pertinent labels, predictions, and metadata for a detailed comprehension of your datasets. This functionality not only streamlines your workflow but also makes Scale Data Engine an essential asset for any data-driven initiative. Ultimately, its capabilities foster a more efficient approach to managing and enhancing data quality across projects.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Phoenix LiDAR Systems
Date Founded
2013
Company Location
United States
Company Website
phoenixlidar.com/spatialexplorer/
Company Facts
Organization Name
Scale AI
Date Founded
2016
Company Location
United States
Company Website
scale.com/data-engine
Categories and Features
Categories and Features
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
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization