Synthetic dataset insights.
Project description
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 tutorial.
Docker
You can use the pre-build docker image unitytechnologies/datasetinsights to run similar commands.
Documentation
You can find the API documentation on readthedocs.
Contributing
Please let us know if you encounter a bug by filing an issue. To learn more about making a contribution to Dataset Insights, please see our Contribution page.
License
Dataset Insights is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
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}
}
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