Subject	Computer Science, Agricultural and Biological Sciences
Specific subject area	Computer Vision and Pattern Recognition, Plant Diseases
Type of data	Image
How data were acquired	Images were acquired by using three different devices. The first device is an iPad Pro-tablet: 12 MP, f/1.8 aperture and optical image stabilization camera with autofocus. The second device is a Samsung J7 smartphone: 13 MP, f/1.7 camera with autofocus. The third device is an iPhone 8 smartphone: 12 MP, f/1.8 aperture and optical image stabilization camera with autofocus.
Data format	Raw digital image (JPG format);
	Annotation file (CSV format);
	Jupyter notebook (IPYNB format).
Parameters for data collection	Esca disease and healthy images of grapevine leaves were collected separately. The images were taken at a working distance of 30 cm from grapevine plants during sunny and windy days and considering scenarios with background variety.
Description of data collection	Diseased and healthy images of grapevine leaves were acquired manually using the camera of three devices (a tablet and two different smartphones). The ground-truth of grapevine plants diseases presence was visually assessed by an expert.
Data source location	Institution: Umani Ronchi SPA
	City/Town/Region: Maiolati Spontini, Ancona, Marche
	Country: Italy
	Latitude and longitude for collected samples/data: 43.470565, 13.112828
Data accessibility	Repository name: ESCA-dataset
	Data identification number: 10.17632/89cnxc58kj.1
	Direct URL to data: http://dx.doi.org/10.17632/89cnxc58kj.1