🛡️Unitlab Python SDK

With Unitlab in your Python code

These code snippets demonstrate how to use the most common Python SDK functions.

To get started, import the unitlab package and initialize a client with an API key. To obtain an API key, navigate to your user account page and follow the instructions to create a new key.

from unitlab import UnitlabClient

# You can find your API key at https://app.unitlab.ai/Unitlab/api-keys
api_key = "YOUR_API_KEY_HERE"
client = UnitlabClient(api_key)

Available methods

The following are some of the most common Python SDK methods:

projects                    Get a list of projects.
project                     Get project information.
project_members             Get project's members.
project_upload_data         Upload data samples to a project.
datasets                    Get a list of available datasets.
dataset_upload              Create a dataset with your own annotations.
dataset_download            Download the dataset's annotation.
dataset_update              Add more data to an existing dataset.
dataset_download_files      Download raw dataset files

Examples

Here are some examples of how to use the Python SDK functions

Get project list

from unitlab import UnitlabClient

api_key = "YOUR_API_KEY_HERE"

client = UnitlabClient(api_key)
client.projects()

This command will return a list of all your projects, including the project ID, ai_model, name, number_of_data, annotator progress, reviewer progress, creator, and created date.

[
    {
        "pk": "6c8801e5-7ffd-4dd4-81a2-190e1792c154",
        "ai_model": "Person Detection",
        "annotator_progress": 91.10,
        "created": "2024-02-22T11:29:48.723802",
        "creator": "YOUR_EMAIL_ADDRESS",
        "name": "Person Detection",
        "number_of_data": 988,
        "reviewer_progress": 67.81
    },
    {
        "pk": "2ae53739-95db-4a22-b018-846b19f2da05",
        "ai_model": "Vehicle Segmentation",
        "annotator_progress": 98.51,
        "created": "2024-02-15T18:35:48.193787",
        "creator": "YOUR_EMAIL_ADDRESS",
        "name": "Vehicle Segmentation",
        "number_of_data": 1007,
        "reviewer_progress": 89.37
    },
    {
        "pk": "46960ada-3119-4caf-be8e-ca633dbf9a42",
        "ai_model": "Human Pose Detection",
        "annotator_progress": 100,
        "created": "2024-02-15T16:55:32.386444",
        "creator": "YOUR_EMAIL_ADDRESS",
        "name": "Person Polygon Detection",
        "number_of_data": 52,
        "reviewer_progress": 100
    },
    {
        "pk": "245784fb-3b63-49cd-b2d1-6494095c9bb5",
        "ai_model": "Fashion Segmentation",
        "annotator_progress": 88,
        "created": "2024-01-23T17:46:18.134930",
        "creator": "YOUR_EMAIL_ADDRESS",
        "name": "Stuff Segmentation",
        "number_of_data": 2000,
        "reviewer_progress": null
    },
    ...
]

Get project members

from unitlab import UnitlabClient

api_key = "YOUR_API_KEY_HERE"
project_id = "YOUR_PROJECT_ID"

client = UnitlabClient(api_key)
client.project_members(project_id=project_id)

It will return a list of the project's members, including their IDs, emails, positions, and statistics.

[
    {
        "pk": "e1dd6cb9-1049-4ac1-ba44-41c54e8f7f9c",
        "email": "MEMBER_EMAIL",
        "position": "annotator",
        "progress": 82.13,
        "average_time": 10.45,
        "overall_time": 1692.0
    },
    {
        "pk": "e1dd6cb9-1049-4ac1-ba44-41c54e8f7f9c",
        "email": "MEMBER_EMAIL",
        "position": "annotator",
        "progress": 94.64,
        "average_time": 13.78,
        "overall_time": 2035.0
    },
    {
        "pk": "e1dd6cb9-1049-4ac1-ba44-41c54e8f7f9c",
        "email": "MEMBER_EMAIL",
        "position": "reviewer",
        "progress": 64.72,
        "average_time": 19.5,
        "overall_time": 1013.6
    },
    {
        "pk": "e1dd6cb9-1049-4ac1-ba44-41c54e8f7f9c",
        "email": "MEMBER_EMAIL",
        "position": "reviewer",
        "progress": 72.0,
        "average_time": 18.6,
        "overall_time": 1335.9
    }
]

Add data samples to a project.

To upload data samples to an existing project, provide the project ID and the directory containing the data samples and run the provided code.

from unitlab import UnitlabClient

api_key = "YOUR_API_KEY_HERE"
project_id = "YOUR_PROJECT_ID"
directory = "PATH_TO_DATA_SAMPLES"

client = UnitlabClient(api_key)
client.project_upload_data(project_id=project_id, directory=directory)

Download a dataset

You can easily download the results of labelled data using the Python SDK. Retrieve your dataset ID and execute the dataset_download method. It will download the annotated results.

from unitlab import UnitlabClient

api_key = "YOUR_API_KEY_HERE"
dataset_id = "YOUR_DATASET_ID"

client = UnitlabClient(api_key)
client.dataset_download(dataset_id=dataset_id)

Additional methods

The Python SDK provided by Unitlab offers a wealth of additional functions beyond those highlighted here. Users can utilize these methods according to their unique needs and preferences.