content: text: Introduction of product services and key features

content: text: Key Functions by Main Service Flow

content: html: <tr><td>Service Stage</td><td>Function Name</td><td>Explanation</td><td>Expected Benefit</td></tr><tr><td>1. Project creation</td><td>Project creation and management</td><td>Select document type to automatically run project creation, Pipeline configuration with recommended Modelset and Endpoint deployment</td><td>The intuitive UI environment allows the the person in charge to quickly proceed with the entire process from project creation to deployment, improving work efficiency</td></tr><tr><td>2. Data labeling and fine-tuning</td><td>Data storage management</td><td>Provides convenient functions for uploading raw data, viewer, and data management (search using image metadata, sorting, filtering, hashtags settings on image data) Image data bookmark for Qualitative Evaluation</td><td>Conveniently manage raw data to be used for OCR Pack and actual date from live service</td></tr><tr><td rowspan="3">3. Pipeline configuration and deployment</td><td>Create and manage Labeling Space</td><td>Creating a Labeling Space to manage raw data annotation, managing labeling resources (Ontology, Characters to be Recognized), data set dump, data set version management 3</td><td>Labeling work can be outsourced within the pack. Labeled data is continuously supplied from which data sets can be created with ease. The Auto Labeling function increases both efficiency and convenience.</td></tr><tr><td>Model training</td><td>Various basic models for each selected document, 5 information comparison between models, basic model training, training pause function, re-training, cancel function, and configuration support for Characters to be Recognized and Ontology that is frequently modified while developing specialized models</td><td>Providing a foundation for customers to implement, manage, and upgrade their own OCR model specialized to the customers' needs</td></tr><tr><td>Pipeline, Endpoint Creation and management</td><td>Choose Detector, Recognizer, or Parser to create a Pipeline or an Endpoint Connect Pipelines to Endpoints, perform tasks such as deployment controllers, deployment recovery, and more</td><td>Providing a foundation for customers to implement, manage, and upgrade their own OCR model specialized to the customers' needs</td></tr><tr><td>4. Monitoring and evaluation</td><td>Project monitoring</td><td>Monitoring of deployed Pipelines and Endpoints, notifying the customer of important issues such as suspicion of model performance degradation, and Qualitative Evaluation of actual incoming customer data</td><td>Monitor important indicators for each project and quickly identify and respond to issues</td></tr><tr><td rowspan="3"></td><td>Full Pack Monitoring</td><td>Monitoring traffic of all deployed Endpoints, quality monitoring of all deployed models, and monitoring of resources (GPU, CPU, Storage) connected to the Pack</td><td>Monitoring useful information about the overall OCR Pack at a glance</td></tr><tr><td>Quantitative / Qualitative Evaluation</td><td>Quantitative evaluation leaderboard / Qualitative Evaluation</td><td>Viewing the model's performance to help the customer choose the appropriate model</td></tr><tr><td>Guide and help</td><td>Provides context-specific guides to help you troubleshoot yourself, download terminal logs for error situations and Pack documentation</td><td>The customer can diagnose, respond to, and solve problems occurring in the Pack on their own without external help</td></tr>

content: text: upstage