I'm the founder of [JTheta.ai](https://app.jtheta.ai), a developer-focused image annotation platform designed to support domain-specific AI use cases in medical imaging (DICOM/NIfTI), defense (SAR/IR), and geospatial (GeoTIFF).
We built JTheta because most annotation tools feel limiting when you try to plug them into real ML pipelines — especially when working with large datasets or needing tight integration into CI/CD workflows.
Here’s what’s available:
- REST API to programmatically manage datasets, annotations, and projects - Python SDK to fetch, push, and automate annotation tasks - Webhooks to trigger downstream tasks when annotations or reviews complete - CI/CD support for exporting data in GeoJSON, COCO, PNG masks, etc. - Auto-annotation and AI-Assist using SAM, MONAI Label, and Mask-RCNN
*Website:* https://www.jtheta.ai *Docs:* https://docs.jtheta.ai *App:* https://app.jtheta.ai
We’re especially focused on helping ML teams who deal with complex data (like multi-band satellite or multi-modal MRI) — and want annotation to be a seamless part of the pipeline, not a blocker.
Would love your thoughts, feedback, or suggestions!
– Vijay Shanmugam(founder)