Copy-paste all small objects in each image 1 times in random places. I code it in this way: Algorithm: Augmentation for small object detection Input: Sample x, Policy v, Threshold thresh, Prob prob ...

Deep Learning-based Face Mask Detection using Transfer Learning with InceptionV3. Built as part of UOWD CSCI316 project. Includes model training, augmentation, and deployment pipeline.

As companies across industries explore how to apply data and AI to innovate and transform their operations for an AI future, ...

Abstract: Data augmentation methods have been employed to address the deficiencies in dysarthric speech datasets, achieving state-of-the-art (SOTA) results in the Dysarthric Speech Recognition (DSR) ...

Abstract: Data scarcity is a common and serious problem in depression detection, often leading to overfitting and bias that degrade the performance of depression detectors. We propose a counterfactual ...

Since the beginning of the century, the number of satellites orbiting Earth has increased by more than 800%, from less than 1 ...

Discover how the role of big data in healthcare improvements is reshaping patient care, hospital operations, and personalized ...

Advanced digital technologies are designed to facilitate the sourcing of patient data from multiple medical device types (e.g ...

Sid Probstein, CEO, SWIRL, led the Data Summit's session, 'Uncovering Data You Know is There But Can't Find,' exploring the ways in which LLMs can dramatically improve document retrieval.