Software as a Service
Datumo Scope is a visualization-based dataset analysis solution.
Implement Data-centric AI by visually analyzing the coverage and edge cases of your training data.
"It seems that the most important concept in the AI industry today is the quantity and quality of data. Datumo has taken a leading role in understanding the essence of AI and has developed data-driven technological capabilities. In particular, their recently released Datumo FST is an extremely innovative and convenient tool that allows users to visually assess the detailed quality and edge data of their data."
SAMSUNG DISPLAY
Datumo Scope
As the first Feature Space-based dataset analysis solution in Korea, Datumo Scope is used throughout the dataset analysis-planning-selection process. Improve your data pipeline and quickly achieve AI performance goals with Datumo Scope.
Datumo Scope - Visualization
Datumo Scope provides a flat graph that places similar data close together and dissimilar data far apart, allowing you to quickly understand the coverage of the entire dataset with easy manipulation and highly readable UI design.
*Feature space is a space expressed by compressing the feature vector, which consists of data information, into multi-dimensional points.
Datumo Scope automatically generates feature vectors or visualizes feature spaces using existing feature vectors.
Datumo Scope - Meta Data & Model Metric
Datumo Scope provides a data distribution graph that reflects metadata and model metric information. You can filter data in various ways by querying information such as data collection environments and model performance indicators.
*Different data collected under various weather and time conditions are separated and represented in different colors according to model performance metrics, making it easy to quickly identify edge cases.
Data Analysis
Utilize feature vector for even selection of data and search of similar data.
Analyze your dataset by combining multiple features.
Datumo Scope - Curation
Automatically selects data while minimizing damage to dataset coverage. You can freely set the number or ratio of data to be selected, as well as the selection algorithm. By using the curation function locally, you can create a more precise dataset.
*The curation function is used in various ways during the machine learning (ML) lifecycle, such as quickly analyzing the entire dataset coverage or classifying the dataset according to its purpose (Train/Test set split).
Datumo Scope - Similar Data Search
Automatically searches for data similar to the specified data. You can repeatedly search and edit the dataset within the specified range to configure the dataset as desired.
*You can select auxiliary data to adjust the search results to reflect your insights. You can also manually search for similar data by clicking on the surrounding points, but using the search function allows for more precise and efficient work.
Data Management
Efficiently manage data to reduce time wastage and augment it as needed for model training.
Version the evolving guidelines during data collection and labeling, and manage the data in a visually appealing way.
Easily augment data that is deemed necessary during feature space analysis.
Model Training
Utilize feature vector for even selection of data and search of similar data.
Analyze your dataset by combining multiple features.
Choose an API-available model or upload your own model to quickly train the selected data.
Visualize the performance results of the trained model in the form of a dashboard.
Feature Vector Upload
Cloud Integration
On-Premise
Gain insight and improve AI performance through Datumo Scope.
Identify dataset biases, undersampling, and edge cases through Datumo Scope and reduce labeling time and cost.
Top-tier visualization
Labeling cost optimization
Software as a Service
Datumo Scope is a visualization-based dataset analysis solution.
Implement Data-centric AI by visually analyzing the coverage and edge cases of your training data.