https://github.com/lima001/ufpr-vcr-dataset
공식 코드Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark
Papers with Code 아카이브
Vehicle Color Recognition
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Vehicle Color Recognition (VCR) involves developing a system to automatically identify and classify the color of vehicles from images or video footage. This task is essential for enhancing vehicle recognition systems, particularly in surveillance, law enforcement, and traffic management applications. The goal is to accurately categorize vehicles based on color, despite challenges such as varying lighting conditions, shadows, and low-resolution images.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HoangTrinh/Vehicle_ReID_using_fusion_of_multi_features
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/Recolip/pytorch_model
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/Spectra456/Color-Recognition-CNN
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/i-am-g2/VehicleColorRecognition
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/jasonqhuang/Color_CNN
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/jwhabi/Vehicle-Color-Identification
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/srihari-humbarwadi/Vehicle-Color-Recognition-using-Convolutional-Neural-Network
Vehicle Color Recognition using Convolutional Neural Network
https://github.com/tomjerrygithub/Pytorch_VehicleColorRecognition
Vehicle Color Recognition using Convolutional Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.