Abstract: Despite the remarkable progress achieved by synthetic aperture radar (SAR) imagery in tasks, such as scene classification and object detection in recent years, automatically generating ...
Abstract: The study presents a methodology for automatically creating an annotated dataset for further use in training neural networks. The method is based on the Crisp-DM framework and consists of 6 ...
Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
XDA Developers on MSN
5 Python libraries that completely changed how I automate tasks
Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...
The Git-10M dataset is a global-scale dataset, consisting of 10.5 million image-text pairs with geographical locations and resolution information. You can skip the following steps if you have higher ...
A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...
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