Based on the full series of YOLOv8 [n/s/m/l/x], the CCTSDB2021 traffic sign detection and recognition system under road traffic scenarios is developed and constructed. - Code World

Based on the full series of YOLOv8 [n/s/m/l/x], the CCTSDB2021 traffic sign detection and recognition system under road traffic scenarios is developed and constructed.

Enterprise 2024-01-08 22:26:43 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/Together_CZ/article/details/135461254

Based on the full series of YOLOv8 [n/s/m/l/x], the CCTSDB2021 traffic sign detection and recognition system under road traffic scenarios is developed and constructed.

Develop and build the CCTSDB2021 traffic sign detection and recognition system in road traffic scenarios based on YOLOv3

Develop and build the CCTSDB2021 traffic sign detection and recognition system in road traffic scenarios based on YOLOv6

China traffic sign (CCTSDB) recognition and detection system based on Yolov8

Technology improves safety. Based on YOLOv4, a pedestrian safety behavior and attitude detection and recognition system in supermarket escalator scenarios is developed and constructed.

Technology improves safety. Based on YOLOv7 [tiny/yolov7/yolov7x], a pedestrian safety behavior and attitude detection and recognition system in supermarket escalator scenarios is developed and constructed.

Technology improves safety. Based on the DETR [DEtection TRansformer] model, a pedestrian safety behavior and attitude detection and recognition system under the escalator scene in supermarkets is developed and constructed.

Development and construction of traffic sign detection and recognition system based on lightweight yolov5/yolov5-lite

yolov5 traffic sign detection and recognition

To assist "intelligent manufacturing" in industrial production, we develop and construct a cloth defect detection and identification system in textile production scenarios based on the full range of YOLOv8 models [n/s/m/l/x].

YOLOv3 target detection combat: traffic sign recognition

Deep learning practical CCTSDB China traffic sign detection [YOLOV8+webui page]

Python traffic sign recognition system based on YOLOv5 [source code & technical documentation & deployment video & data set]

Traffic sign detection and recognition based on deep learning (from principle to environment configuration/code operation)

High-precision traffic sign detection system based on deep learning (PyTorch+Pyside6+YOLOv5 model)

[GA-HOG-GRNN multi-traffic sign detection] Matlab simulation of traffic sign detection and recognition in natural scenes - GRNN neural network algorithm based on HOG feature extraction and GA optimization

New China Traffic Sign Detection Dataset 2021—CCTSDB 2021: A More Comprehensive Traffic SignDetection Benchmark (new classification-multi-algorithm evaluation)

China Traffic Sign Detection Dataset (CCTSDB) [New Test Data]

Traffic sign recognition model file

Driverless Project - Traffic Sign Recognition

Based on the full range of yolov5 models [n/s/m/l/x], develop and construct a fine-grained target detection and recognition system for cats with different parameter levels

Based on the YOLOv5 series [n/s/m/l] model development and construction of human gesture target detection, recognition and analysis system

AI:05 - Detection and identification of road traffic lights based on deep learning

To help detect environmental protection issues, develop and build bare soil detection and recognition models of different magnitudes based on the full series of YOLOv5 models [n/s/m/l/x], and analyze the detection performance by comparing experiments

PyTorch deep learning practice - traffic sign recognition

Development and construction of butterfly target detection and recognition system based on YOLOv8

Face target detection system in classroom scenarios based on YOLOV8 model (PyTorch+Pyside6+YOLOv8 model)

Python traffic sign recognition based on convolutional neural network nanny level tutorial (Tensorflow)

Road defect target detection system based on YOLOV8 model (PyTorch+Pyside6+YOLOv8 model)

Computer vision - day88 reading paper: Traffic target detection and recognition based on driver's attention field of view

Recommended

Ranking

SpringBoot entry and the advantages and disadvantages

idea maven report system omitted for duplicate solutions

StackOverflow error when casting to a superclass

2019-06-06 Elastic products Compatibility

springcloud gateway集成oauth2.0

HTTP Headers的Request Headers

js declares arrays and adds object variables to arrays

Nginx summary (c) port-based virtual host configuration

6 Best Practices for Contract Management

Codeforces Round #631 (Div. 2)

Daily

More

2025-03-23(0)

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)