Product Introduction
MLOps Platform - NSai
From dataset management to data labeling,
training and deployment of AI models,
"Manage the entire development cycle of machine learning/deep learning"
with the MLOps platform service.
training and deployment of AI models,
"Manage the entire development cycle of machine learning/deep learning"
with the MLOps platform service.
Dataset Management
Data Labeling
AI Model Training
AI Model Deployment
From dataset management to data labeling,
training and deployment of AI models,
"Manage the entire development cycle of machine learning/deep learning"
with the MLOps platform service.
training and deployment of AI models,
"Manage the entire development cycle of machine learning/deep learning"
with the MLOps platform service.
Dataset Management
Data Labeling
AI Model Training
AI Model Deployment
Product Description
Dataset Management
You can monitor the list and details of datasets required for training.
The provided details include:
The provided details include:
Data Type
Dataset Size
Data Preview
Labeling Status
Object Classification Items
Data Labeling
Support for Various Labeling Formats
To facilitate appropriate labeling tasks, various labeling formats such as Bounding Box, Polygon, and Key Point are supported.
Bounding Box
Allows drawing rectangular shapes around the object. Useful for efficiently indicating the object's location and size.
Polygon
Enables precise drawing of the object's shape using polygons. Suitable for representing complex object shapes more accurately.
Key Point
Marks specific points to indicate the key features of an object. Ideal for labeling specific parts of a human body or facial features.
Pointer Guidelines Provided
Provides visual guidelines to help users perform labeling tasks more accurately and precisely.
Product Description
Dataset Management
You can monitor the list and details of datasets required for training.
The details provided are as follows:
The details provided are as follows:
Data Type
Dataset Size
Data Preview
Labeling Status
Object Classification Items
Data Labeling
Support for Various Labeling Formats
To facilitate labeling tasks, various labeling formats such as Bounding Box, Polygon, and Key Point are supported.
Bounding Box
Allows drawing rectangular shapes around objects, efficiently indicating their location and size.
Polygon
Enables precise drawing of objects using polygons, suitable for complex shapes.
Key Point
Marks specific points to indicate key features of an object, such as human joints or facial parts.
Pointer Guidelines Provided
Provides visual guidelines to help users perform labeling tasks more accurately and precisely.
Product Specifications
Supported Image Formats
jpg, png, bmp, tiff
Supported Save Formats
coco.json, yolo.txt
Supported Labeling Types
Bounding Box, Polygon, Key Point
Auto Labeling Models
Faster-RCNN, YOLOv5, Mask-RCNN
Auto Labeling Throughput
1,000 images/session