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 ...
A good way to learn about customers' feedback is to scrape Amazon reviews. This detailed guide will show you 2 different ...
AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
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 ...
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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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