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Lobe
Lobe

Lobe

Low Code/No Code

Lobe
Lobe.ai is a free and easy tool that helps you create machine learning models without writing any code. You can use it to train your app to recognize images, objects, data and more.
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Here is how it works:

- Collect and label your images using your webcam or your computer folder.
- Lobe automatically trains a custom machine learning model on your own computer.
- You can see the results of your model and improve it by giving feedback.
- You can export your model to various formats and use it on any platform you choose.

Lobe is designed for anyone who wants to bring their machine learning ideas to life. You can use it for various purposes, such as identifying plants, detecting emotions, monitoring wildlife, analyzing equipment and more. You can also learn more about machine learning and its applications with Lobe's examples and tutorials.

If you are interested in trying Lobe, you can download it for free from their website: https://www.lobe.ai/
 

Pros
  •  Lobe.ai is a free and easy to use tool that lets you train machine learning models with images.
  •  Lobe.ai automatically selects the right machine learning architecture for your project and trains it on your own computer without uploading your data to the cloud.
  •  Lobe.ai allows you to export your model to various formats and platforms, such as TensorFlow, Core ML, ONNX, and more.


     
Cons
  •  Lobe.ai currently only supports image classification, which is the task of labeling an image based on its content. Other types of machine learning, such as object detection or data classification, are not available yet.
  •  Lobe.ai requires a relatively powerful computer to run smoothly and train models quickly. If your computer does not meet the minimum system requirements, you may experience performance issues or errors.
  •  Lobe.ai does not provide much control or customization over the machine learning process. You cannot modify the model architecture, parameters, or training settings. You also cannot access the raw data or code behind the scenes.

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