MinneApple
Introduced by Häni et al. in MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
MinneApple is a benchmark dataset for apple detection and segmentation. The fruits are labelled using polygonal masks for each object instance to aid in precise object detection, localization, and segmentation. Additionally, the dataset also contains data for patch-based counting of clustered fruits. The dataset contains over 41, 000 annotated object instances in 1000 images.
Source: https://github.com/nicolaihaeni/MinneApplePapers
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