Existing datasets used to assess the performance of classification models are lacking with: (i) larger dataset size, (ii) diversified image contents, and (iii) images generated with the recent digital image rendering techniques. To fill this gap, we created two new datasets, namely, 'JSSSTU ...
Deep learning assisted XRF spectra classification Velibor Andric Goran Kvascev Maja Gajic-Kvascev Scientific Reports(2024) Advertisement Scientific Reports (Sci Rep)ISSN2045-2322(online) Sign up for theNature Briefingnewsletter — what matters in science, free to your inbox daily. ...
Open Images Dataset V5(OIDV5)是目前规模最大的目标检测公开数据集[1]。基于飞桨(PaddlePaddle)的PaddleDetection目标模型库[2],百度研发了大规模图像目标检测模型MSF-DET (Multi-Strategy Fused Detection framework),是Google举办的Open Images Dataset V5 (OIDV5) 2019目标检测比赛中的最好单模型,并且在计算机视觉...
We present Open Images V4, a dataset of 9.2M images with unified annotations for image classification, object detection and visual relationship detection. The images have a Creative Commons Attribution license that allows to share and adapt the material, and they have been collected from Flickr with...
Open Images Dataset V5(OIDV5)是目前规模最大的目标检测公开数据集[1]。基于飞桨(PaddlePaddle)的PaddleDetection目标模型库[2],百度研发了大规模图像目标检测模型MSF-DET (Multi-Strategy Fused Detection framework),是Google举办的Open Images Dataset V5 (OIDV5) 2019目标检测比赛中的最好单模型,并且在计算机视觉...
Data augmentation is a widely used technique in many machine learning tasks, such as image classification, to virtually enlarge the training dataset size and avoid overfitting. Traditional data augmentation techniques for image classification tasks create new samples from the original training data by, ...
OpenImages: A public dataset for large-scale multi-label and multi-class image classification, 2017. Available from https://github.com/openimages".BibTeX@article{openimages, title={OpenImages: A public dataset for large-scale multi-label and multi-class image classification.}, author={Krasin,...
OpenImages: A public dataset for large-scale multi-label and multi-class image classification, 2017. Available from https://github.com/openimages".BibTeX@article{openimages, title={OpenImages: A public dataset for large-scale multi-label and multi-class image classification.}, author={Krasin,...
11-16-2017V3 data released! The dataset now includes 3.7M bounding-boxes and 9.7M positive image-level labels on the training set. 10-20-2017Resnet 101 image classification model released (trained on V2 data).Model checkpoint,Checkpoint readme,Inference code. ...
experimental results based on a large clinical thyroid ultrasound image dataset indicate that the proposed intra- and inter-task consistent learning can effectively eliminate both types of task inconsistency and thus improve the performance of all tasks for thyroid nodule segmentation and classification. ...