vmc-7645/YOLOv8-retail
Detect retail products via the YOLOv8 object recognition engine.
This project helps retail managers and operations staff automatically identify products in store images or video feeds. It takes in visual data of retail environments and outputs precise detections of individual products. This can be used for tasks like inventory management, shelf auditing, and planogram compliance.
No commits in the last 6 months.
Use this if you need to automatically count, locate, or track retail products in images, video, or live camera feeds.
Not ideal if you need to detect empty shelf spaces rather than actual products, though a separate model for that specific task is also mentioned.
Stars
28
Forks
10
Language
Python
License
GPL-3.0
Category
Last pushed
Apr 18, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/vmc-7645/YOLOv8-retail"
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