wkentaro/yolo-world-onnx
ONNX models of YOLO-World (an open-vocabulary object detection).
This project helps computer vision engineers and AI developers by providing optimized ONNX models for open-vocabulary object detection. You input images and a list of object names you're looking for, and it outputs the locations and classifications of those objects in the image. This is ideal for those integrating advanced object detection into applications without needing extensive machine learning model training.
No commits in the last 6 months.
Use this if you need to deploy a flexible object detection model that can identify a wide range of objects based on text descriptions, without retraining the model for each new object.
Not ideal if you are a non-technical end-user looking for a ready-to-use application with a graphical interface.
Stars
24
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/wkentaro/yolo-world-onnx"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ultralytics/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
mindspore-lab/mindyolo
A toolbox of yolo models and algorithms based on MindSpore
ultralytics/assets
Ultralytics assets
stephanecharette/DarkHelp
C++ wrapper library for Darknet