Data Services
Whether you’re looking to streamline operations, automate workflows, or enhance customer experience, our AI data solutions are tailored to your needs.
Data services
Model Training and Evaluation×
Model Training and Evaluation
DataoceanAI possesses a powerful algorithm team specializing in intelligent speech, NLP (Natural Language Processing), LLM (Large Language Models), CV (Computer Vision), and autonomous driving algorithms. Leveraging DataoceanAI’s massive collection of proprietary datasets encompassing speech, text, images, videos, and multimodal data, our team conducts algorithm research and innovation using state-of-the-art algorithm frameworks.

Application Scenarios

Live stream

Climate Modeling

Quality Control and Inspection

Autonomous Systems

Healthcare

Time Series Forecasting

Recommendation Systems

Anomaly Detection

Conversational AI

Natural Language Processing (NLP)

Image Classification

Image Classification

Live stream

Climate Modeling

Quality Control and Inspection

Autonomous Systems

Healthcare

Time Series Forecasting

Recommendation Systems

Anomaly Detection

Conversational AI

Natural Language Processing (NLP)

Image Classification

Live stream

Climate Modeling

Quality Control and Inspection

Autonomous Systems

Healthcare

Time Series Forecasting

Recommendation Systems

Anomaly Detection

Conversational AI

Natural Language Processing (NLP)

Image Classification
Capabilities
- ASR (Automatic Speech Recognition) supports over 100 languages and is based on mainstream algorithm frameworks such as Kaldi, Wenet, ESPnet, and ModelScope. The average recognition accuracy can reach over 90%, and the algorithm is applied in cost reduction applications such as automatic annotation and semi-automatic annotation projects.
- LLM (Large Language Model) algorithms support mainstream large models such as ChatGPT, Baichuan, QWen, and Llama, conducting customized data cleaning and modeling fine-tuning according to the domain and characteristics of the data.
- CV (Computer Vision) autonomous driving algorithms support mainstream algorithms such as face detection and anonymization, license plate detection and anonymization, 2D object detection, 2D lane detection, 2D semantic segmentation, 3D object detection, and 3D semantic segmentation.