NadavIs56/YOLOv8-Dog-Couch-RealTimeDetection
YOLOv8-Dog-Couch-RealTimeDetection is a specialized computer vision system built on the YOLOv8 model. It's designed to detect in real-time when a dog climbs onto a couch and subsequently triggers an alert. Ideal for pet owners seeking to train their pets or maintain their furniture. Open for adaptation to other object detection scenarios.
This system helps pet owners prevent their dogs from getting on furniture like couches or beds. It uses a computer's camera to monitor the furniture, and when it detects a dog on it, it sends an immediate alert with a photo to the owner's Telegram app. This allows pet owners to remotely supervise and train their pets.
No commits in the last 6 months.
Use this if you are a pet owner struggling to keep your dog off specific furniture and want an automated way to monitor their behavior and receive real-time alerts.
Not ideal if you need to detect objects other than dogs, cats, couches, or beds, or if you prefer not to use Telegram for alerts.
Stars
15
Forks
1
Language
Python
License
—
Category
Last pushed
Dec 12, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/NadavIs56/YOLOv8-Dog-Couch-RealTimeDetection"
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