Published March 31, 2022
| Version 1.0.0
Dataset
Open
Raw Metrics and Rankings for "Exploratory Analysis on Pixelwise Image Segmentation Metrics with an Application in Proximal Sensing"
Authors/Creators
- 1. CNRS, IMS, UMR 5218, University of Bordeaux / EXXACT Robotics
- 2. CNRS, IMS, UMR 5218, University of Bordeaux / Bordeaux Sciences Agro
- 3. EXXACT Robotics
Description
These datasets accompany the article published in Remote Sensing entitled: "Exploratory Analysis on Pixelwise Image Segmentation Metrics with an Application in Proximal Sensing".
For each of the three segmentation models presented in the paper (DTSM, SVM and CIVE) two types of datasets are included:
- Raw Metrics: the raw evaluations for each image returned by each of the 12 evaluation metrics.
- Rankings: the ranking of each image in the dataset based on its raw evaluation. This dataset has been created by sorting in ascending order the dissimilarity metrics (GCE and HDD) and descending order the similarity metrics (all the other metrics).
The datasets are in Excel (.xlsx) format and can be easily loaded in R and used to reproduce the results presented in the article.
Files
Files
(115.4 kB)
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md5:baa56d9c1e94eb52601b5d30f747e9cd
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12.7 kB | Download |
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md5:706d5cf34bbd894b101c9f37fd1023ef
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12.7 kB | Download |
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md5:014de6a55db5d495c0e733c48b66e8b5
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12.6 kB | Download |
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md5:443e967d0fc1e51081c465ad68f2721c
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28.4 kB | Download |
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md5:3a334df2c7d6b55819dcaa2568305491
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21.0 kB | Download |
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md5:75f3d3b30fc399c5c61ae6378601d781
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28.1 kB | Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.3390/rs14040996 (DOI)