Overview
In order to train, test, and validate AI applications, annotated datasets are needed. Wageningen Research - Field Crops can provide FAIR datasets consisting of high-quality raw images, annotations, and metadata on crops, weeds, diseases, and pests. At the moment a dataset on volunteer potato in sugar beet and onion is available. Let us know in which other datasets you are interested.
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!
The customer can use the data to validate an AI algorithm for different regions in the Netherlands. To support the annotation process, we are not limited to the Netherlands.
The customer can search in a portal if datasets are available that are compatible with the AI algorithm. If there are no datasets available, contact us to discuss possibilities for acquiring new datasets for the validation purpose. If there are datasets available, the customer can deploy the algorithm, and performance metrics are calculated. The customer also has the option to buy data to improve the AI algorithm. Beforehand an indicator is given on the expected improvement.
The AI algorithm has to be imported in ONNX format. There are different types of annotations used in AI. If the customer sees potential datasets, but not with the right annotation format, contact us to discuss possibilities to improve the dataset according to the customer needs.
Location
Netherlands
Remote
Type of Sector
Arable farming
Horticulture
Tree Crops
Type of service
AI model training
Collection of test data
Data augmentation
Performance evaluation
Provision of datasets
Accepted type of products
Data
Software or AI model
