DataGym Python API
Python API Wrapper for DataGym (https://www.datagym.ai) - the AI-assisted image annotation tool. You can easily access your Projects, Datasets, Images and labeled data from the DATAGYM backend through this package.
DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products.
Free software: BSD license
Documentation: https://docs.datagym.ai/documentation/python-api/
Requirements
Python Version: Python 3.6, 3.7, 3.8, or later
DataGym Account: If you haven’t got a DataGym account yet, please SignUp.
Initial Project: Setup your first Project and/or label some images in your Dummy Project
API Token: In order to access your Dummy Project via our Python API you need to create an API Token
First Steps
Install the package via pip:
user@machine:~$ pip install datagymCreate your first DATAGYM API Client:
from datagym import Client
client = Client(api_key="<YOUR_API_KEY>")Features
Fetch Project, Datasets, Images
Export labeled data from Projects
Import labeled data into Projects
Create Datasets
Add Datasets to Projects
Upload/Download images
Upload of coco labels
Upload of label configuration
1 maintainer
Metadata
1 maintainer
Release files for datagym 0.7.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| datagym-0.7.2.tar.gz | 24.4 kB | Without provenance | Details for datagym-0.7.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datagym-0.7.2-py3-none-any.whl | Python 3 | none | any | Details for datagym-0.7.2-py3-none-any.whl |
Total release size: 51.6 kB
Release files / datagym-0.7.2.tar.gz
| Download URL | datagym-0.7.2.tar.gz |
|---|---|
| Size | 24.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / datagym-0.7.2-py3-none-any.whl
| Download URL | datagym-0.7.2-py3-none-any.whl |
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| Size | 27.2 kB |
| Tags | Python 3 |
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