Description
A dataset of temporally consistent apple images and labels taken using UAVs and a wearable sensor in an orchard, consisting of 86000 manually annotated apple instances and 1700 frames annotated in the MOTS (Multi-object Tracking and Segmentation) style.
| Date made available | 25 Feb 2022 |
|---|---|
| Publisher | Wageningen University & Research |
Research output
- 1 Article
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APPLE MOTS: Detection, Segmentation and Tracking of Homogeneous Objects Using MOTS
de Jong, S., Baja, H., Tamminga, K. & Valente, J., Oct 2022, In: IEEE Robotics and Automation Letters. 7, 4, p. 11418-11425Research output: Contribution to journal › Article › Academic › peer-review
Open Access18 Link opens in a new tab Citations (Scopus)
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