TruongNV-hut/AI_U_P_Cl_YOLO8_ObjectDetection_cgyettix
Training YOLO8 model with custom data
This project helps you train a highly accurate and fast object detection system using your own specific image or video data. You provide labeled images or video footage, and it produces a model that can automatically identify and locate multiple objects within new visual inputs. This is useful for anyone needing to automate the identification and tracking of specific items in real-time applications, such as in security, logistics, or quality control.
No commits in the last 6 months.
Use this if you need to build a custom system that can quickly and accurately detect specific objects in images or live video feeds.
Not ideal if you only need to classify an entire image or if you don't have a large dataset of your own labeled images for training.
Stars
22
Forks
3
Language
Python
License
—
Category
Last pushed
Oct 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TruongNV-hut/AI_U_P_Cl_YOLO8_ObjectDetection_cgyettix"
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