… on the finegrained vehicle analysis, we have collected a large-scale vehicle image dataset
… To make a better exploration of the fine-grained vehicle analysis, a large-scale dataset that …

… Vehicle detection and recognition … vehicle datasets and high similarity of fine-grained vehicle
types. In terms of the scarcity of vehicle datasets, this study proposes a strategy of collecting …

… whole car, car front and car logo, which is for fine-grained car … on fine-grained car recognition,
we collect a large-scale car … , we collected a large-scale dataset named MPF-Cars, which …

… annotations limits its practical application on a large scale. The part learning-based methods
… The images are mainly collected from the website and labelled with Make, Model, and year …

… dataset is intended to provide a large-scale fine-grained object … dataset is a challenging
and large-scale dataset aimed at … , which promotes the development of fine-grained vehicle …

… The data was collected using the autonomous vehicle MuCAR-3 [33]. Our vision system is
… dataset but exclude rare classes. Thus we only use the classes car and bus from the vehicle …

… in the collected surveillance video to find the target vehicle. The VMMR system is also a …
, performance evaluation and modeling of large-scale distributed and mobile systems, the IoT, …

… Our method first amplifies the object (eg, bird, car) from the … model designs and large-scale
datasets (eg ImageNet [1]), … present large scale, while the size of targets in bird dataset are …

… Stanford-Cars [25] is a realworld dataset composed of 196 car categories. While the CUB …
recognition app and large scale dataset with citizen scientists: The fine print in fine-grained …

… In order to collect high-quality data, we equipped our standard pickup with five high-… inclusion
in additional fine-grained classes. Some of the annotation samples are depicted in Fig. 8. …