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Decision brief
geti_v2 is designed for developers who need to build computer vision models quickly using limited datasets. It supports TypeScript and integrates with frameworks like OpenVINO.
Good fit when
- When you have a shortage of labeled data but still require high accuracy in your computer vision model.
- If you are working on projects where rapid prototyping and quick iterations are crucial due to time constraints.
Avoid when
- When you need to work with languages other than TypeScript, as geti_v2 is specifically designed for use with TypeScript environments.
- In scenarios where you have abundant labeled data and can afford longer training times, which may not leverage the key advantage of geti_v2's efficiency in low-data conditions.
- Pricing:
- unknown - Pricing information is not provided.
- Requirements:
- Min 0 GB RAM
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (25d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install geti_v2 npmSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A platform for developing computer vision models efficiently using less data. It supports deep learning and model fine-tuning.
Capability facts
- Languages
- typescript
Source: github.language · Aug 24, 2026
Categories
Tags
README
🛫 Getting Started
Geti™ can be deployed either on a local machine, on-premises, or on a virtual machine. Geti™ software uses Kubernetes to orchestrate various component services. The client front end uses HTTP protocol to connect to the platform, so users can access the software through a web browser.
Geti™ can be installed:
Quick Start videos:
📝 License
Geti™ repository is licensed under LIMITED EDGE SOFTWARE DISTRIBUTION LICENSE.
Models fine-tuned by Geti™ are licensed under Apache License Version 2.0.
FFmpeg is an open source project licensed under LGPL and GPL. See https://www.ffmpeg.org/legal.html. You are solely responsible for determining if your use of FFmpeg requires any additional licenses. Intel is not responsible for obtaining any such licenses, nor liable for any licensing fees due, in connection with your use of FFmpeg.
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For agents
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