SDK for accessing the jtheta.ai API.
🧠 jtheta
SDK for accessing the jtheta.ai API — making it easy to manage datasets, request annotations, and automate your AI pipeline.
📆 Installation
Install the SDK with pip:
pip install jtheta
🚀 Getting Started
Step 1: Login into https://app.jtheta.ai/ & Create the workspace.
Step 2: On Workspace dashboard click the Crete API key option in left sidebar.
Step 3: Copy the api key
import jtheta
# Initialize with your API key
jtheta.init("your_api_key_here")
# Validate your API key
print(jtheta.validate_key())
# Create a new project
#jtheta.create_project("project_title","project_category")
project = jtheta.create_project("My Project", "image")
# Upload images and create a dataset
#jtheta.create_dataset("dataset_name","license","project_name","image_paths"=["image path"])
dataset = jtheta.create_dataset("MyDataset", "MIT", "My Project", ["image1.jpg", "image2.jpg"])
#Upload more images
#jtheta.upload_images("dataset_id","project_name","images"="image1.jpg")
upload_image = jtheta.upload_images(231,"My Project","image1.jpg")
# Get list of Annotators
jtheta.get_annotators()
# Get list of Reviewers
jtheta.get_reviewers()
# Request annotation
#jtheta.request_annotation("dataset_id","project_name","assigned_annotator","assigned_reviewer","labels"=[{"label": class_label, "type": "Bounding Boxes"},{"label": class_label, "type": "Polygons"},{"label": class_label, "type": "Instance Segmentation"},{"label": class_label, "type": "Semantic Segmentation"}],allow_class_creation=True,auto_annotation=True)
jtheta.request_annotation("My Project", dataset["id"], "annotator@example.com", "reviewer@example.com", [{"label": "car", "type": "Bounding Boxes"},{"label": "truck", "type": "Polygons"}], True, False)
# Download dataset
jtheta.download_dataset(dataset["id"], format="csv", version="1.0", save_path="annotations.csv")
📚 Features
- ✅ Project and dataset creation
- 📄 Image upload
- 🔍 Annotation request and monitoring
- ⬇️ Dataset export
- 🢑 Retrieve annotators and reviewers
📬 Support & Feedback
Have questions or feature requests? Reach out!
📧 Email: contact@jtheta.ai 🌐 Website: jtheta.ai
🌐 Connect with us
📝 License
This project is licensed under the MIT License. See the LICENSE file for details.
Metadata
Release files for jtheta 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| jtheta-0.1.1.tar.gz | 4.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jtheta-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / jtheta-0.1.1.tar.gz
| Download URL | jtheta-0.1.1.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.5
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Release files / jtheta-0.1.1-py3-none-any.whl
| Download URL | jtheta-0.1.1-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.5
|
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