Abstract: High-quality annotations are a critical success factor for machine learning (ML) applications. To achieve this, we have traditionally relied on human annotators, navigating the challenges of ...
Abstract: In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit ...
A comprehensive dataset of tomato images captured in a plant factory environment, designed for object detection and classification tasks. The dataset features micro tomato variety images with ...
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