Datasets - Benchmark
Summary
Provide benchmark training data sets incl. labels and metadata for benchmarking AI algorithms by the target groups. Datasets will be configured or adjust individually according to the needs of customer, within field operations, technological processes or communication.
S00193
Version: 1.11
- arable farming
- horticulture
- greenhouse
- tree crops
- food processing
- collection of test data
- provision of datasets
- data analysis
- AI model training
- software or AI model
- design / documentation
- Location: in Poland
- Offered by: PSNC, L-PIT
Description
Our service provides an extensive range of benchmark training datasets, complete with labels and metadata, designed to enhance the benchmarking of AI algorithms across diverse target groups in agricultural and environmental sciences. These datasets include satellite and spatial data for remote sensing, phenological data for various crops, synthetic data to broaden training possibilities, as well as specialized datasets focused on food processing, animal breeding, and plant production. This diverse offering supports robust model training, fostering advancements in agricultural research, food manufacturing processes, and genetic research in animal and plant production, thereby boosting the effectiveness of AI applications in these critical areas.