AIWinOps user interface features task simplification, providing users with convenient project management, graphic dataset management, model management, deployment, and decision-making functions. Its unique toolchain design allows users to easily solve various technical problems and optimize models with less training images, making AI model output and deployment more efficient and convenient. With no need for deep learning or similar technical background, everyone has the opportunity to become an AI expert to face future challenges.
Image Classification
In the field of image classification, our machine learning models use powerful algorithms to accurately classify images from daily life to professional fields, capable of identifying and categorizing various image contents.
Object Detection
Object detection technology can identify specific objects in an image and determine their precise location. Our model, trained with extensive real-world data, can recognize different objects and mark them with bounding boxes.
Image Segmentation
Professional image segmentation technology can finely divide images. Such high-precision processing enables us to accurately extract specific structures from images, providing key technical support for applications requiring high-detail recognition.
Anomaly Detection
This tool trains an AI model using multiple standard (positive) images to achieve automatic anomaly recognition and marking of anomalous areas. It is suitable for automatic recognition applications where labels are hard to define, such as defect detection applications where defective samples are hard to collect.
Defect Generation
Using a minimal set of defect samples, this function enables the automatic generation of a large number of defect images. Users can then select images that best match real-world defect patterns based on experience, add them to the project's dataset, annotate, and train them further to produce the AI model.
AI Assistant
SaaS Construction
Rapid Deployment
Reduce Labor Cost
Decision Optimization
Fast Modeling
Automatic Data Generation
Auto Tagging
3.5X
Return on Investment
Differences After AI Implementation
50%
Capacity Improvement
3 Million
Cost Reduction
Streamlined Data Processing
Offers Public and Private Cloud Solutions
No Need to Recruit Professional AI Personnel
The above implementation benefits may vary by case and industry
Embrace the next generation of tagging tools, easily handle 'Tagging Boxes' to capture flaws without omission. With just a few clicks, you can tag and easily move to the next image. Boost accuracy and double efficiency!
With the tagging process complete, you're just one step away from AI learning. Assign a unique name to your dataset, hit 'Release', and embark on the model training journey. Seamless connection, achieving both speed and efficiency.
At the start of your AI journey, choose the suitable dataset and test set to lay a solid foundation for your model. Give your model a unique 'Model Name', specify the task type, whether it's image classification, object detection, or image segmentation, our platform provides professional support. Fine-tune hyperparameters like algorithm selection, learning rate adjustment, and batch size setting, ensuring efficient and precise training. Press 'Execute Training' to start your model learning journey.
Start training your models today.