The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

Object detection in remote sensing imagery plays a vital role across various fields, including industrial monitoring, agricultural assessment, and military surveillance (D’Acremont et al., 2019) 1.

UPDATE: torchrs is currently being merged into TorchGeo. Please go star & follow our progress. PyTorch implementation of popular datasets and models in remote sensing ...

Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a ...

Hyperspectral imaging acquired from unmanned aerial vehicles (UAVs) offers detailed spectral and spatial data that holds transformative potential for precision agriculture applications, such as crop ...

Abstract: The deep neural network has promoted the design of excellent multi-classification methods for medical images. Owing to attractive advantages: white-box attribute, strong logical expression ...

Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.

In this era of pandemic, the future of healthcare industry has never been more exciting. Artificial intelligence and machine learning (AI & ML) present opportunities to develop solutions that cater ...

Abstract: The development of accurate methods for multi-label classification (MLC) of remote sensing (RS) images is one of the most important research topics in RS. The MLC methods based on ...

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...