Sensor Dataset Collection for Machine Learning.
Image, NLP etc. major domain of machine learning has many famous dataset. For example, MNIST, CIFAR series, PTB dataset. However, Machine learning using sensor data does not have such a famous dataset.
Machine Learning using sensor-data will become an important field in the future, However, there is no easy way to access the data sets, nor is there a well-known data set.
Purpose of this project is to provide 3 applications.
- Sensor Dataset Loader
- Preprocessing function for sensor data.
- Examples using sensor data
Before install SensorDatasetCollection
, please create virtual environment such as Conda
or pipenv
git clone https://github.com/KawashimaHirotaka/SensorDatasetCollection.git
cd SensorDatasetCollection/
pip install .
or
git clone https://github.com/KawashimaHirotaka/SensorDatasetCollection.git
cd SensorDatasetCollection/
python setup.py install
import sdc
(x_train, y_train), (x_test, y_test) = sdc.datasets.uci.load_har()