Lobe vs DataRobot

Lobe is a free and easy-to-use tool that allows you to create machine learning models. Whether you want to train apps to identify plants or develop your own personalized machine learning models, Lobe has everything you need to bring your ideas to life. With Lobe, you can effortlessly train custom machine learning models by simply showing it examples of what you want it to learn. The tool automatically trains the model, which can then be easily integrated into your app. Lobe is designed to be user-friendly, requiring no coding or prior experience. You can train your models for free on your own computer without uploading your data to the cloud, ensuring privacy and security. Export your model to any platform of your choice, and utilize the project templates provided by Lobe to streamline your machine learning projects. The tool currently offers image classification and will soon introduce more templates, such as object detection and data classification. Lobe simplifies the machine learning process into three easy steps: label your images, train your model, and use it in your app.

DataRobot offers the only full-lifecycle AI platform that has broad ecosystem interoperability and a world-class team of applied AI experts to help you envision what’s possible with AI, and achieve it.

DataRobot is an AI cloud-based platform that allows users to build and deploy machine learning models. It provides a platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.