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Effective deep learning models need high-quality training data. The Zillin's team put years of experience in data preparation, creating a tool that makes the process very simple and very reliable.
You can do your project on our own, or invite other people to work as a team. Simply type in their e-mail addresses and select their roles. Expand ▼
People in your team will have different permission levels:
Manager – can add or remove people from the team
Developer – defines projects and creates models using annotated images
Collaborator – uploads images and makes annotations
Guest – can see the projects, but in the read-only way
Worker – only gets individual images for annotation in a batch mode
Zillin is your repository of image datasets and annotations. Expand ▼
You can create annotations using several different tools. Each tool will have a class name attached.
Bounding Boxes – simply draw frames to quickly select interesting objects
Polygons – create precise outlines of objects or defects
Points – mark key points like human eyes, object corners or picking slots
Polylines – useful for example for marking road lanes or veins
Questions – add meta-information which can be Yes/No, numerical or textual
To assure high quality of your training data, annotations can be performed by one person and then reviewed by another one. Expand ▼
Zillin introduces this optional two-stage process, because mistakes do happen and must be eliminated. This feature can also be used to have image annotations approved by your customer before you invest time for training your models.
You will always keep track who and when created a specific annotation, as well as which models were trained with which datasets. Expand ▼
Developing deep learning models for real life applications can easily become chaotic. Zillin solves that by giving you a clear and simple set of procedures for working with datasets, sharing them within a team and creating annotation projects.
Use Zillin to store and annotate images with and without defects. Collect new datasets from the production environment to further refine your models. Mark defects with Polygon or Pixelwise tools. Invite your customer online to verify defect annotations.
Use Zillin to manage images of objects that your robots should pick. Annotate object positions with key Points or Oriented Rectangles. Use Questions to add more information like about material or estimated weight.
Use Zillin to conduct research on computer tomography imaging, skin disease classification and many more. Use Zillin's detailed tracking to see who and when created a particular annotation to strictly document your proceedings.
Use Zillin to develop projects in automated harvesting, crop monitoring or plant classification. Invite experts to collaborate on annotations. Use Questions to collect information about product categories or quality grades.
Use Zillin to prepare training data for AGV (Automated Guided Vehicles) or UAV (Unmanned Aerial Vehicles). Mark and classify objects with Bounding Boxes. Describe special circumstances or alert conditions with Questions.
Use Zillin to manage your images used for training fruit sorting, flower transplanting, classification of meat pieces and many more.
All work that has been done in your project can be simply exported as a JSON file. Just go to your project details → Export tab, and you will be able to download the file from there. This file will contain all your annotations together with additional meta-data such as who and when created each marking.
Your data is securely stored in the Microsoft Azure cloud so that you don't need to worry about it and you can access it everywhere. If you prefer your own storage you can contact us and we will offer you synchronizing it with Zillin as an additional service.
It depends on the details of your agreement. Many standard NDA templates allow for restricted data transfer to contractors or third parties "reasonably required" to carry out a contract. Please discuss this matter directly with your customer. Many of them may actually be happy to share images with you through a trackable service; especially when they can get involved as Collaborators or Guests and see exactly what you are doing with their data. If that is not possible, consider asking your customer to create their own workspaces in Zillin and to invite you to collaborate while keeping full access control themselves.
Due to the European law and as explicitly stated in § 10 of our Terms of Service, you will be required to obtain our consent and enter into a relevant agreement with us about processing personal data.