Object detection
The widest selection in Geti™: anchor-free YOLO variants, real-time DETRs, and mobile-friendly detectors for any deployment target.
Geti™ enables anyone to build computer vision AI models in a fraction of the time and with minimal data.
The software provides you with a seamless, end-to-end workflow to prepare state-of-the-art
computer vision models in minutes.


Pick your preferred installation method to get up and running locally.
Geti™ ships with a curated catalog of 29 deep learning architectures across the three core computer vision tasks — from ultra-fast mobile networks to large transformer backbones. Every model is automatically exported to OpenVINO™ IR for efficient edge inference, so you can pick the right trade-off between speed, accuracy, and footprint without leaving the platform.
The widest selection in Geti™: anchor-free YOLO variants, real-time DETRs, and mobile-friendly detectors for any deployment target.
Pixel-perfect masks with classic Mask R-CNN backbones and modern DETR-based segmenters for high-accuracy or real-time needs.
From compact mobile CNNs to self-supervised transformer backbones — pick the right balance of accuracy and latency.
Geti™ connects your model to the real world from both ends. Collect images, video, or live camera streams; accelerate annotation with smart assistants; then wire predictions back out through inference pipelines — all in one continuous workflow around your model.
Under the hood, Geti™ uses the OpenVINO™ toolkit to optimize model performance for deployment across the entire Intel® hardware portfolio. Pick the precision that fits your use case — INT8, FP16, or FP32 — and export to the runtime that matches your target, ready to run at the edge or in the cloud.