Service hotline
+14074039331
Convenient Development Environment
The open environment is convenient and open, adaptable to various hardware, and can be developed online.
Adequate resources
It comes with a rich instance data resource library to meet the algorithm development needs of multiple scenarios.
Standard automated testing
The fully automated AI model training model automatically performs standardized tests and adjusts the optimal parameters to output the optimal model.
Powerful computing performance
It provides sufficient computing resources, high-performance model training and reasoning capabilities, and one-click end-to-end functions, ensuring that the model reaches expert levels in terms of accuracy and running speed.
It is an artificial intelligence cloud platform developed based on various machine learning frameworks, with strong hardware resource management capabilities and efficient model development capabilities.
It can perform image labeling, algorithm model development, distributed training, and service publishing.
Reduce the threshold for AI usage, improve development efficiency, and assist various industries in accelerating intelligent transformation.
Based on example scenarios, the system automatically evaluates, analyzes, and marks targets in the images and videos in the dataset.
At the same time, it assists in the design of subsequent marking methods and parameter adjustments.
Perform multi-dimensional evaluation of the algorithm model, including accuracy, number of parameters, recall rate, training time, etc.
The algorithm development process data is visualized, and the algorithm evaluation results are more accurate and reliable.
During the automated model training process, the parameter configuration is continuously and intelligently adjusted to optimize the model and output the optimal algorithm model.
Effectively reduce the technical threshold and time cost of algorithm development, and improve the algorithm development timeliness by 70%.
According to the different requirements of the mission scenarios, it can be quickly customized to meet the needs of various application fields.
Automated AI model training and algorithm upgrades can complete algorithm development and iteration in a shorter time.
The rich and precise algorithm library empowers the AI capabilities of enterprises, further realizing cost reduction and efficiency improvement, and enhancing enterprise competitiveness.