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.
Tsinghua-Tencent 100K
Background Threshold Model
DFG traffic-sign dataset
GTSRB
CNN with 3 Spatial Transformers
Bosch Small Traffic Lights
Hierarchical + Background Threshold Model
Swedish traffic-sign dataset (STSD)
Mask R-CNN with adaptations for traffic sings (ResNet50)
BelgaLogos
Belgian Traffic Sign Classification
Chinese Traffic Sign Database
FlickrLogos-32
TopLogo-10
Sill-Net