Lobe is a free, easy-to-use app that helps you train custom machine learning models and ship them in your app. It is designed for users of any experience level and is a safe, secure, and private way to train models. Lobe simplifies the process of machine learning into three easy steps: collecting and labeling images, training your model, and using your model.
You can collect data using your webcam or by dragging in a folder of images from your computer. Lobe will automatically select the right machine learning architecture for your project, such as image classification or object detection. When you are done, you can export your model to a variety of industry standard formats and ship it on any platform you choose. With Lobe, you can quickly and easily train models with no code or experience required.
More details about Lobe AI
Does Lobe AI require coding skills?
No, Lobe AI does not necessitate coding skills. It’s designed to be accessible for anyone to use regardless of their coding experience.
What are the testimonial reviews for Lobe AI?
Testimonials for Lobe AI include praises from a range of users like software engineers, ocean mappers, and beekeepers. They commend its ease of use, efficiency in processing data, and simplicity in removing complexities from machine learning.
What are the steps to train a model in Lobe AI?
The process to train a model in Lobe AI comprises three steps: 1) Collect and label your images using Lobe AI’s data gathering tools, 2) Train your model and review live visual results to understand its strengths and weaknesses, and 3) Play, improve, and then export your model.
Can Lobe AI be used for object detection?
While the function of object detection, which pertains to locating an object inside of an image, is anticipated to be added to Lobe AI soon, it is not currently available.
What are the main features of Lobe AI?
Major features of Lobe AI encompass the training custom machine learning models using a simple, no-code platform. The app also allows data collection via a webcam or by dragging a folder of images from the computer. It auto-selects the right machine learning architecture suitable for the user’s project like image classification or object detection. After training, the model can be exported in different industry standard formats for deployment on any chosen platform.
Are there any examples of applications using Lobe AI?
Lobe AI has found usage in a variety of applications such as plant species identification, monitoring of bee hive health, recognition of hand gestures, fire watch, and even personal trainer assistance. Other examples include safety measures, wildlife behavior, emotion detection, whale watching, and aerial and microscopic imagery.
