rampal-punia/django-object-detection
Django object detection app using yolov5. Upload new custom model or use any of the yolov5 pre-trained model.
This tool helps quality control inspectors, security analysts, or researchers to quickly identify specific objects within a collection of images. You upload your images, select a detection model (either a standard YOLOv5 model or your own custom-trained one), and the system processes them to highlight and label detected objects. It's designed for anyone needing to automate object recognition in visual data.
No commits in the last 6 months.
Use this if you need a straightforward way to upload images and run object detection using YOLOv5 models, or if you want to test and integrate your own custom object detection models.
Not ideal if you need a production-ready application with advanced features like real-time video processing, complex database integrations, or enterprise-grade scalability and security out-of-the-box.
Stars
58
Forks
23
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 07, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/rampal-punia/django-object-detection"
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