The Go-To Choice for CV Data Visualization, Annotation, and Model Analysis.
Deep Data Space (DDS) is an open-source dataset tool with these features out-of-box:
- interactive dataset visualization and exploration
- intelligent annotation with a collaborative workflow
- efficient model management and performance analysis
DeepDataSpace(DDS) requires Python 3.8 - 3.10 and runs on the following platforms:
- Mac, x86/arm64
- Windows 10, x86/x64
- Ubuntu 18.04/20.04/22.04, x86/x64
python3 -m pip install pip --upgrade
python3 -m pip install deepdataspace# clone the source code
git clone https://github.com/IDEA-Research/deepdataspace.git
# prepare the node environment（if you haven't installed the Pnpm and Node environment yet）
curl -fsSL https://get.pnpm.io/install.sh | sh -
pnpm env use --global lts
# compile frontend files
pnpm i
pnpm run build:app
# copy frontend files to python package dir
rm -rf deepdataspace/server/static/*
cp -R packages/app/dist/* deepdataspace/server/static/
cp deepdataspace/server/static/index.html deepdataspace/server/templates/
# install the package
python3 -m pip install pip --upgrade
python3 -m pip install -r requirements.txt
python3 setup.py installThe dds command will be available once the deepdataspace is installed, with which you can quickly start the DDS
tool.
dds --quickstart
# Started DDS[${pid}] at http://127.0.0.1:8765.
# The DDS tool is importing datasets inside dir in the background: $HOME/.deepdataspace/dataset-samples.
# Explore other useful commands by: ddsop --help.
# You can quit the DDS tool with Ctrl+C.It takes a while the first time you start the DDS tool, as it is downloading extra dependencies to set up a runtime
environment.
Once the DDS tool is started, visit http://127.0.0.1:8765 and you will see the flowing sample datasets:
quick_start.mp4
Visit our documentation for more details on how to utilize the powers of DDS.
pip uninstall deepdataspace
rm -rf ~/.deepdataspace/* # use with caution, it will delete all datasets imported beforeThis project is released under the Apache 2.0 License.
Copyright 2023-present, IDEA
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.