Create large accurate training data sets fast

Zillin makes Machine Learning data preparation simple by enabling flawless team collaboration, as well as object segmentation, classification, and geolocalization.

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  • 1€/1000 images
  • No subscription
  • Pay-as-you-go
  • Unlimited labels

Work as a team and build valuable datasets

Useful Machine Learning (ML) model needs big, high-quality data. Zillin team put years of experience in data preparation creating a tool that makes the process fast, simple, and faultless.

Teamwork Teamwork

Collaborate in groups of any size. Assign different roles for classification and reviewing of the data. Scale up your effort to work faster with more precision.

Image Datasets Image Datasets

Segment, classify and locate objects in the images. Use automatic geolocalization of satellite imagery for your computer vision or satellite photo ML project.

Review Mode Review Mode

Improve the quality of training data created for the neural network model. All classified images are approved by a reviewer, who can accept or modify. You can easily control the dataset quality even with many people working on it simultaneously.

Analysis and Reports Analysis and Reports

Each product owner has access to useful stats, project flow, and advancement. Track the work progress, proactively detect potential issues, and optimize the database preparation efforts.

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Zillin's geolocalization

Each selection your team makes on the satellite images or aerial photography (also created by drones) will automatically include the exact coordinates. This feature is handy when preparing data for sea vessel tracking, infrastructure damage analysis, soil classification and crop detection, or many other popular ML projects.

Frequently Asked Questions

We know that some things might seem complicated at the beginning. That’s why we listed the most common questions in the section below. Here you should find the answers that you are searching for. If your questions are more detailed, feel free to contact us at any time.

On the project view press "Create New Project" button, then in 3 simple steps configure all project:

  1. Add your dataset by uploading images
  2. Define what you want to mark on the images defining marking tools and you can also add additional questions for the images if you need to classify them.
  3. Then add your team for work by selecting the appropriate role for each of them (Classifier or Reviewer)

that's it, your project is ready for publishing or you can simply preview your project before publishing to see how your people will see your project.

All work that will be done in your project can be simply exported in JSON file. You need to go to your project details → the export tab, and you can download the export file from there.

For your comfort we stored all data in our storage, so you don't have to worry about it. Although, if you have your own storage you can contact with us, we will try to sync.


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