Dataset Insights¶
Unity Dataset Insights is a python package for understanding synthetic datasets. This package enables users to analyze synthetic datasets generated using the Perception SDK.
Installation¶
Dataset Insights maintains a pip package for easy installation. It can work in any standard Python environment using pip install datasetinsights
command. We support Python 3 (>= 3.7).
Getting Started¶
Dataset Statistics¶
We provide a sample notebook to help you get started with dataset statistics for the SynthDet project. We plan to support other sample Unity projects in the future.
Dataset Evaluation¶
Dataset evaluation provides tools to train and evaluate ML models for different datasets. You can run download
, train
and evaluate
commands:
datasetinsights download \
--source-uri=<xxx> \
--output=$HOME/data
datasetinsights train \
--config=datasetinsights/configs/faster_rcnn.yaml \
--train-data=$HOME/data
datasetinsights evaluate \
--config=datasetinsights/configs/faster_rcnn.yaml \
--test-data=$HOME/data
To learn more, see this Dataset Evaluation Documentation.
Indices and tables¶
Citation¶
If you find this package useful, consider citing it using:
@misc{datasetinsights2020,
title={Unity {D}ataset {I}nsights Package},
author={{Unity Technologies}},
howpublished={\url{https://github.com/Unity-Technologies/datasetinsights}},
year={2020}
}