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Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard Environments

2024-03-25

Abstract excerpt

<title>Abstract</title> <p>Training machine learning (ML) models for computer vision-based object detection process typically requires large, labeled datasets, a process often burdened by significant human effort and high costs associated with imaging systems and image acquisition. This research aimed to simplify image data collection for object detection in orchards by avoiding traditional fieldwork with differe...

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Literature Corpus work
2430d498-ce2a-583e-abda-ec18e8450f46
DOI
10.21203/rs.3.rs-4147237/v1
Open publication

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Synthetic Meets Authentic: Leveraging Text-to-Image Generated Datasets for Apple Detection in Orchard EnvironmentsDOI 10.21203/rs.3.rs-4147237/v1
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