Name
Abstract | ||
|---|---|---|
In this work, we present a new dataset to advance the state-of-the-art in fruit detection, segmentation, and counting in orchard environments. While there has been significant recent interest in solving these problems, the lack of a unified dataset has made it difficult to compare results. We hope to enable direct comparisons by providing a large variety of high-resolution images acquired in orcha... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LRA.2020.2965061 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Vegetation,Image segmentation,Training,Benchmark testing,Yield estimation,Labeling | Journal | 5 |
Issue | ISSN | Citations |
2 | 2377-3766 | 0 |
PageRank | References | Authors |
0.34 | 23 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicolai Häni | 1 | 4 | 2.75 |
| Pravakar Roy | 2 | 10 | 3.53 |
| Volkan Isler | 3 | 1222 | 107.38 |