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
How can the service help you?
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.
How the service will be delivered
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.
Service customisation
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.
Sector
Arable farming
Horticulture
Tree Crops
Test type
Data
Software or AI model
Type of service
AI model training
Collection of test data
Data augmentation
Performance evaluation
Provision of datasets
Country of delivery
Country of delivery:
Remote
Service provider(s):
-
Wageningen University WUR
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