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Overview
This service provides essential support for creating a robust framework to label, store, and manage data effectively for AI training purposes. Proper labelling is crucial, as deep learning models rely on consistent, high-quality data to detect complex patterns. Within this service, we do not label data ourselves but rather offer training guidelines to ensure that data is labelled accurately and consistently across large datasets. Please refer to other services if you wish for your data to be labelled by us. In addition, we help set up the necessary digital infrastructure for storing and maintaining this data. Our support streamlines the labelling and data augmentation process, laying the foundation for successful AI development in applications such as crop monitoring, pest detection, and yield prediction in the agri-food sector.
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
> Support with training guidelines
> Add version control and traceability throughout labeling
> Possibility for long term storage and easy retrieval of datasets for specific AI-models
> Add version control and traceability throughout labeling
> Possibility for long term storage and easy retrieval of datasets for specific AI-models
Images will be uploaded to our ClearML server, ensuring robust version control and full traceability throughout the labelling and data augmentation process. We conduct thorough quality checks on all annotations to maintain high accuracy and consistency. Additionally, we provide support for various annotation tools such as Labelbox, CVAT, and others, ensuring a seamless integration with your workflow and AI model requirements.
The process is adapted to your required annotation tool. The organisation in ClearML is a flexible system allowing full version control and traceability for every unique combination of datasets and trained models.
Location
Remote
Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Type of service
Data augmentation
Desk assessment
People training
Test setup
Accepted type of products
Data
Software or AI model
