148 machine learning datasets
148 dataset results
Structured atmospheric data for AI/ML Long-term, pre-processed, atmospheric datasets for use in Machine Learning/AI based forecasting. Initially intended to predict AOD, however can be adapted for prediction of other atmospheric particles.
๐ง๐ผ ๐ฑ๐ถ๐๐ฝ๐๐๐ฒ ๐ฎ ๐ฐ๐ต๐ฎ๐ฟ๐ด๐ฒ ๐ผ๐ป ๐ผxpedia, +๐ญ- 888-829-08.81 ๐๐๐ฎ๐ฟ๐ ๐ฏ๐ ๐ฟ๐ฒ๐๐ถ๐ฒ๐๐ถ๐ป๐ด ๐๐ผ๐๐ฟ ๐ฏ๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ฑ๐ฒ๐๐ฎ๐ถ๐น๐ ๐๐ผ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ ๐๐ต๐ฒ ๐ป๐ฎ๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฐ๐ต๐ฎ๐ฟ๐ด๐ฒ. ๐๐ฎ๐๐ต๐ฒ๐ฟ ๐ฎ๐ป๐ ๐ฟ๐ฒ๐น๐ฒ๐๐ฎ๐ป๐ ๐ฑ๐ผ๐ฐ๐๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป, ๐๐๐ฐ๐ต ๐ฎ๐ ๐ฐ๐ผ๐ป๐ณ๐ถ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐ฒ๐บ๐ฎ๐ถ๐น๐ ๐ผ๐ฟ ๐ฟ๐ฒ๐ฐ๐ฒ๐ถ๐ฝ๐๐. ๐ง๐ต๐ฒ๐ป, ๐ฐ๐ผ๐ป๐๐ฎ๐ฐ๐ ๐ผxpedia'๐ ๐ฐ๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐๐ฒ๐ฟ๐๐ถ๐ฐ๐ฒ ๐ฎ๐ +๐ญ- 888-829-08.81. +๐ญ- 888-829-08.81 ๐๐ ๐ฝ๐น๐ฎ๐ถ๐ป ๐๐ผ๐๐ฟ ๐๐ถ๐๐๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฝ๐ฟ๐ผ๐๐ถ๐ฑ๐ฒ ๐๐ต๐ฒ ๐ป๐ฒ๐ฐ๐ฒ๐๐๐ฎ๐ฟ๐ ๐ถ๐ป๐ณ๐ผ๐ฟ๐บ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ ๐ถ๐ป๐ถ๐๐ถ๐ฎ๐๐ฒ ๐๐ต๐ฒ ๐ฑ๐ถ๐๐ฝ๐๐๐ฒ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐. ๐ง๐ต๐ฒ๐ ๐๐ถ๐น๐น ๐ด๐๐ถ๐ฑ๐ฒ ๐๐ผ๐ ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐ต๐ฒ ๐๐๐ฒ๐ฝ๐ ๐๐ผ ๐ฟ๐ฒ๐๐ผ๐น๐๐ฒ ๐๐ต๐ฒ ๐ถ๐๐๐๐ฒ ๐ฒ๐ณ๐ณ๐ฒ๐ฐ๐๐ถ๐๐ฒ๐น๐.
SynD is a synthetic energy dataset with a focus on residential buildings. This dataset is the result of a custom simulation process that relies on power traces of household appliances. The output of simulations is the power consumption of 21 household appliances as well as the household-wide consumption (i.e. mains). Therefore, SynD's can be used for Non-Intrusive Load Monitoring, also referred to as Energy Disaggregation.
BEHAVIOR is a benchmark with the 100 household activities that represent a new challenge for embodied AI solutions.
NeoRL-2 includes new task scenarios that better reflect real-world task properties and includes traditional control methods as the data-collecting method. In summary, our contributions are as follows:
Scene Recognition is a problem, where a set of visible objects must be correctly associated with objects marked on a semantic map - this problem is also sometimes called a Data Association. Please note, that Scene Recognition in terms where the observed scene must be labeled in terms such as 'kitchen', 'bedroom' and so on is a different problem.
The Fields2Benhmark dataset is a collection of 350 agricultural fields in vector format manually selected to test agricultural coverage path planning algorithms.
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