训练数据来自kaggle竞赛:https://www.kaggle.com/c/state-farm-distracted-driver-detection/data 一共13个模型的代码分别为M1.ipynb到M13.ipynb,其训练结果分别为my_submission1.csv到my_submission13.csv。另外还有最后用来做模型融合的Merger.ipynb,输出f_submission为多个模型融合后的结果。 CAM Analysis.ipynb利用...
The StateFarm's distracted driving detection dataset on the Kaggle platform is used, which consists of ten classes of distracted driving postures, including safe driving, texting, talking on the phone, operating the radio, drinking, reaching behind, fixing hair and makeup, and talking to the ...
此数据集可以从 kaggle 上下载。Distracted Driver Detection 如果你下载有困难,可以点这里:百度云 报告说明 开题报告: proposal.pdf 毕业项目报告: capstone.pdf 代码说明,依次执行以下步骤: 1. 拆分数据集代码 splite_valid.py 2. 基准模型代码 keras-vgg16-visual-finetune.ipynb 3. 单模型代码 keras-resnet50...
The use of different Convolutional Neural Network (CNN) models namely: Small CNN, VGG16, VGG19, Inception for classification of distracted drivers according to State Farm Distracted Driver Detection challenge on Kaggle are depicted in this paper. The deep learning library used for the purpose is ...
The proposed model was trained and tested by state farm distracted driver detection image datasets available at Kaggle that contains images of drivers in the most common activities performed, which lead to distraction while driving divided into ten classes. Also, we have studied the performances of ...
Distraction detectionAccident preventionConvolutional neural networksKaggle challengeTriplet lossDriver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving. A deep learning approach is then presented for......
This branch is up to date withlytapple/State-Farm-Distracted-Driver-Detection:master. Folders and files Name Last commit message Last commit date Latest commit lyt first Jan 8, 2018 e217a3b·Jan 8, 2018 History 2 Commits dataset images ...
Explore and run machine learning code with Kaggle Notebooks | Using data from State Farm Distracted Driver Detection
Can computer vision spot distracted drivers?
Available online: https://www.kaggle.com/c/state-farm-distracted-driver-detection/discussion/20043 (accessed on 23 November 2022). Sajid, F.; Javed, A.R.; Basharat, A.; Kryvinska, N.; Afzal, A.; Rizwan, M. An efficient deep learning framework for distracted driver detection. IEEE ...