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geti_v2

archived
open-edge-platform/geti_v2

Build computer vision models quickly with less data

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

161views this month

483 stars51 forksLast push Jul 30, 2026 TypeScript Other

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 (51d since push)
As of Sep 19, 2026
Provenance
Not a fork · Organization account
As of Sep 19, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install geti_v2
npm

Similar tools

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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 · Sep 19, 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...

For agents

This page has a .md twin and JSON over the API.

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