OpenField-BD-Tomato-Maturity-Detection Dataset
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OpenField-BD-Tomato-Maturity-Detection is an object detection dataset developed for tomato maturity identification under natural open-field conditions in Bangladesh. The dataset contains 600 tomato field images with annotated tomato objects belonging to three maturity classes: green, half-ripe, and fully-ripe. The images were collected from real tomato cultivation fields, where natural variations such as sunlight, shadow, complex background, leaf occlusion, fruit position, and different viewing angles are present. These field-level variations make the dataset suitable for developing and evaluating tomato detection models for practical agricultural applications. This dataset can be used for tomato maturity detection, ripeness monitoring, precision agriculture, smart farming, automated harvesting support, and computer vision-based crop analysis.



