#88 · Primary category: Inference & Local Deploy

inference

agents classification computer-vision deployment docker inference inference-api inference-server instance-segmentation jetson machine-learning object-detection onnx python tensorrt vit yolo11 yolov12 yolov5 yolov8

Turn any computer or edge device into a command center for your computer vision projects.

Project last updated:08/28/26

GitHub Stars

2.4K

Forks

311

Contributors

122

License

Other

Why we included this project

Roboflow's inference server lets you run computer vision models on hardware you control, handling the serving details so you can focus on the model itself. Behind one REST API and Python SDK sit YOLO-family detectors, segmentation, classification, and foundation models like Florence-2, CLIP, and SAM2, so swapping models doesn't touch your application. The Workflows feature chains detection, tracking, counting, OCR, and your own logic into pipelines that respond to live camera feeds, which covers real tasks like reading license plates or alerting when occupancy changes. Docker images and Jetson support make GPU-accelerated deployment on edge devices straightforward.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category