Overview

Model inference APIs

CV Models

Pangu-CV-ImageClassification-2.1.0

Quantitatively analyzes an image based on different image features and classify the image into several categories. It is applicable to tasks such as animal and plant classification, vehicle type classification, license plate classification, scrap grading, and component classification.

Pangu-CV-ObjectDetection-S-2.1.0

Finds all objects of interest in an image and determines their positions and categories. The Pangu CV Object Detection-S Model features a small number of parameters and is suitable for environments with limited resources. It provides a fast detection speed and reasonable precision.

Pangu-CV-ObjectDetection-N-2.1.0

Finds all objects of interest in an image and determines their positions and categories. The Pangu CV Object Detection-N Model features a moderate number of parameters and is suitable for environments with limited resources. It provides a fast detection speed and reasonable precision.

Pangu-CV-ObjectDetection-S-3.1.0

The Pangu CV Object Detection Model can find all the objects of interest in an image and determine their locations and labels.

Pangu-CV-SemanticSegmentation-2.1.0

The Pangu CV Semantic Segmentation Model can segment a digital image into multiple regions. It is suitable for tasks such as lane segmentation, building segmentation, and screening face status detection at a coal separation plant.

Pangu-CV-InstanceSegmentation-1.1.0

The Pangu CV Instance Segmentation Model can segment and recognize different labels of objects and the object instances in input images, and output the labels, confidence, and coordinates of each instance.

Third-Party NLP Model

Third-Party NLP Model

DeepSeek API is an API service based on the DeepSeek model. It supports text-based interaction in multiple scenarios and can quickly generate high-quality dialogs, copywriting passages, and stories. It is suitable for scenarios such as text summarization, intelligent Q&A, and content creation.

Qwen Third-Party VL Models

Qwen Third-Party VL Models

This Qwen2.5-VL model provides capabilities including image recognition, precise visual positioning, text recognition and understanding, document parsing, and video comprehension.

Pangu-CV-ObjectDetection-S-2.1.0

Finds all objects of interest in an image and determines their positions and categories. The Pangu CV Object Detection-S Model features a small number of parameters and is suitable for environments with limited resources. It provides a fast detection speed and reasonable precision.

Pangu-CV-ObjectDetection-N-2.1.0

Finds all objects of interest in an image and determines their positions and categories. The Pangu CV Object Detection-N Model features a moderate number of parameters and is suitable for environments with limited resources. It provides a fast detection speed and reasonable precision.

Data engineering APIs

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Querying Data Lineages

Allows you to import raw datasets from OBS. You can use the OBS path to query all raw datasets created based on the path and the subsequent lineage information.

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Permanently Deleting a Dataset

For data uploaded from OBS, you need to delete the associated raw data in OBS when deleting the datasets. Instead of storing raw data in OBS for a long time, customers require that the raw data be archived in their big data center.

Agent APIs

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Calling an Application

Allows you to call the API of a created application and input a question to obtain the application execution result.

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Calling a Workflow

Allows you to call the API of a created workflow and input a question to obtain the workflow execution result.

Token calculator

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Token Calculator

To help you better manage tokens and optimize token usage, the platform provides the token calculator. The token calculator can help you evaluate the number of tokens in a text before model inference, estimate the cost, and optimize the data preprocessing policy.