This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels and 96 dpi resolution. The peer-reviewed research article for this dataset has been published in MDPI Sensors, and can be accessed here: https://doi.org/10.3390/s22134740. Please cite this when using the dataset
The idea of safe and smart vehicles has been thoroughly researched over the past decades to ensure d...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
International audienceThis paper addresses the question of the detection of small targets (vehicles)...
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and diff...
The dataset contains 2,919 images and separated into five classes of car, taxi, truck, bus and mot...
The dataset contains JPEG images of vehicles. It has a total of 3858 images which is divided into 80...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
We created our own dataset featuring the required military and civilian vehicle classes. The dataset...
The main objective for the use of an image dataset was to examine the five vehicle types of motor ve...
Vehicle Classification has been a well-researched topic in the recent past. However, advances in the...
Detecting, counting, and classifying objects represent the most primary and challenging tasks in the...
Self-driving cars developments are becoming the norm in both automotive and IT industry. Recent rese...
In this work we introduce a large-scale, fine-grained dataset of cars. This dataset, consisting of 1...
Version finale corrigée grâce aux remarques des reviewers.National audienceThis paper addresses the ...
Vehicle classification is currently a widely implemented component in intelligent vehicles, surveill...
The idea of safe and smart vehicles has been thoroughly researched over the past decades to ensure d...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
International audienceThis paper addresses the question of the detection of small targets (vehicles)...
This dataset contains 4800 tiny and low resolution vehicle images collected in low lighting and diff...
The dataset contains 2,919 images and separated into five classes of car, taxi, truck, bus and mot...
The dataset contains JPEG images of vehicles. It has a total of 3858 images which is divided into 80...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
We created our own dataset featuring the required military and civilian vehicle classes. The dataset...
The main objective for the use of an image dataset was to examine the five vehicle types of motor ve...
Vehicle Classification has been a well-researched topic in the recent past. However, advances in the...
Detecting, counting, and classifying objects represent the most primary and challenging tasks in the...
Self-driving cars developments are becoming the norm in both automotive and IT industry. Recent rese...
In this work we introduce a large-scale, fine-grained dataset of cars. This dataset, consisting of 1...
Version finale corrigée grâce aux remarques des reviewers.National audienceThis paper addresses the ...
Vehicle classification is currently a widely implemented component in intelligent vehicles, surveill...
The idea of safe and smart vehicles has been thoroughly researched over the past decades to ensure d...
Abstract. To gain more insight into the behavior of drivers during congestion, and to develop and te...
International audienceThis paper addresses the question of the detection of small targets (vehicles)...