MOTS-annotated UAV Vineyard Dataset captured using Multiple Perspectives to avoid Leaf Occlusion for Object Detection and Tracking

  • Mar Ariza Sentis (Creator)
  • Kaiwen Wang (Creator)
  • Zhen Cao (Creator)
  • Sergio Velez Martin (Creator)
  • Joao Pereira Valente (Creator)

Dataset

Description

This dataset contains UAV RGB videos (MP4) recorded with a Phantom4 RTK in a vineyard during the harvesting campaign of 2023. It also includes frames and annotations (PNG) to boost Object Detection and Tracking of grape bunches. There are two types of videos: (1) videos capturing the side of the canopy from a frontal point of view only, and (2) videos that collect the data from multiple perspectives to avoid leaf occlusion, common in commercial vineyards. All flights were executed 3 meters above ground level, with a clear sky and wind speed below 0.5 m/s.
Date made available7 Feb 2024
PublisherWageningen University & Research

Keywords

  • Leaf Occlusion
  • Fruit Occlusion
  • Annotations
  • Viticulture drone
  • Precision Agriculture
  • UAV
  • MOTS
  • Object Detection
  • Object Tracking

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