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Intuitive Web Interface

Intuitive Web Interface

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.

Five powerful application tools

Image Classification

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

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

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

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

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.

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Features

Features

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

What Can You Do

DataOps

Start AI Tagging Engine Now!

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.

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ModelOps

Instant Model Setup

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.

Model Train

Actual Example

  • Personal Protective Equipment Wearing
  • Workplace Safety Inspection

View Computer Vision

How Simple It Can Be

Start training your models today.