Searching for the Ideal Recipe for Preparing Synthetic Data in the Multi-Object Detection Problem

The advancement of deep learning methods across various applications has forced the creation of enormous training datasets. However, obtaining suitable real-world datasets is often challenging for various reasons. Consequently, numerous studies have emerged focusing on the generation and utilization...

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Bibliografiske detaljer

Principais autores:	Michał Staniszewski, Aleksander Kempski, Michał Marczyk, Marek Socha, Paweł Foszner, Mateusz Cebula, Agnieszka Labus, Michał Cogiel, Dominik Golba
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-01-01
Serier:	Applied Sciences
Fag:	mutli-object detection synthetic data generation deep and transfer learning
Online adgang:	https://www.mdpi.com/2076-3417/15/1/354
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