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On the Merge-head dataset, an average precision of 92.22% is obtained at a 76 frames per second capture. A You Look Only Once version 3 (YOLOv3) model with a single-shot detector (SSD) is utilized. However, UAV flights are challenged by limitations of high wind instability, which ...
analyzed using the maximum, minimum, median, mean, and standard deviation. According to the data inTable 3, the distribution of the whole dataset and training and testing datasets was similar. Therefore, the training set and test set could be used to establish the model and test the model ...
UVSD is a large dataset for UAV based vehicle detection and segmentation. UVSD contains 5,874 images with 98,600 instances with high quality instance-level semantic annotations, which are captured by drones in different places at different heights. In UVSD, part of pictures come from Vidrone,...
Since the dataset from this study only had scaled 8-bit information as DN, calculation of vegetation indices would be unrealistic. Furthermore, the investigation aimed to explore the potential utility of CNNs within a crop breeding pipeline. While it was evident that CNNs can learn to estimate...
Also, they investigated the impact of transfer learning and fine-tuning techniques on the overall performance of the CNN model, where various pre-trained models on the ImageNet dataset were tested. These techniques provide much better results than training deep learning models from scratch with ...
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The dataset comprises 2,898 infrared thermal images extracted from 43,470 frames in hundreds of videos captured by UAVs in various scenarios, such as schoo...
(DSPP) module extracts and aggregates multi-scale spatial information, improving detection of fissures of various sizes. A Focal Dice Loss is designed to enhance recognition capabilities in challenging conditions. To advance deep learning in ground fissure extraction, we created a dataset (GFD) ...
dataset. The coefficient of determination (R2), root mean square error (RMSE), and Akaike information criterion (AIC) of the training dataset were used for the assessment of models39, and the estimation accuracy was evaluated by R2and RMSE of the testing dataset. Mathematically, a higher R2...
Moreover, a self-prepared remote sensing testing dataset is also introduced to test BayesNet against unseen data, and it achieved an accuracy of 96.39%, which showcases the effectiveness of the BayesNet in scene classification tasks.doi:10.3390/rs16050925Sagar, A. S. M. Sharifuzzaman...