tech4ai/t4ai-signature-detect-server
This project provides a pipeline for deploying and performing inference with the YOLOv8 object detection model using the Triton Inference Server. It supports integration with local systems, Docker-based setups, or Google Cloud’s Vertex AI. The repository includes scripts for automated deployment, benchmarks and GUI inference.
This project helps MLOps engineers, data scientists, and machine learning developers efficiently deploy and run object detection models like YOLOv8. It takes raw images as input and outputs identified objects within those images, complete with bounding boxes. You'd use this to move trained object detection models from development into a production environment, ensuring fast and scalable inference.
No commits in the last 6 months.
Use this if you need to deploy an object detection model for high-performance inference, whether on your local system, via Docker, or on Google Cloud's Vertex AI.
Not ideal if you are looking for a tool to train new object detection models or if your primary goal is basic, low-volume inference without scalability needs.
Stars
22
Forks
4
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Oct 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/tech4ai/t4ai-signature-detect-server"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/ultralytics
Ultralytics YOLO 🚀
Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX,...
kujason/avod
Code for 3D object detection for autonomous driving
aparsoft/yolo-streamlit-detection-tracking
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics