Traffic Sign Recognition
Traffic sign recognition is an important task in the field of computer vision, aiming to accurately identify traffic signs through image or video data. The goal of this task is to utilize advanced image processing and pattern recognition technologies to achieve efficient detection and classification of various traffic signs, thereby enhancing road safety and the reliability of autonomous driving systems. The application value of traffic sign recognition lies in its ability to provide real-time and accurate sign information for intelligent transportation systems, supporting scenarios such as vehicle navigation, traffic monitoring, and autonomous driving.
BelgaLogos
Belgian Traffic Sign Classification
Bosch Small Traffic Lights
Hierarchical + Background Threshold Model
Chinese Traffic Sign Database
DFG traffic-sign dataset
FlickrLogos-32
GTSRB
CNN with 3 Spatial Transformers
Swedish traffic-sign dataset (STSD)
Mask R-CNN with adaptations for traffic sings (ResNet50)
TopLogo-10
Sill-Net
Tsinghua-Tencent 100K
TSR-SA(with RFB-C)