index.rst

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:

Download Dataset

datasetinsights download \
   --source-uri=<xxx> \
   --output=$HOME/data

Train

datasetinsights train \
   --config=datasetinsights/configs/faster_rcnn.yaml \
   --train-data=$HOME/data

Evaluate

datasetinsights evaluate \
   --config=datasetinsights/configs/faster_rcnn.yaml \
   --test-data=$HOME/data

To learn more, see this Evaluation_Tutorial Documentation.

Contents

modules

SynthDet Guide <https://github.com/Unity-Technologies/SynthDet/blob/master/docs/Readme.md> Evaluation_Tutorial

Synthetic_Dataset_Schema

Indices and tables

• genindex
• modindex
• search

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}
}