Diferencia entre revisiones de «Bases de datos de peces de coral de la unv. de Edimburgo»
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fish video and extracted fish data. See below for 3 other | fish video and extracted fish data. See below for 3 other | ||
Fish4Knowledge project datasets. | Fish4Knowledge project datasets. | ||
Dataset #1: a 10 minute video clip from all working cameras taken at 08:00 | Dataset #1: a 10 minute video clip from all working cameras taken at 08:00 | ||
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patterns over annual cycles and comparison between sites. | patterns over annual cycles and comparison between sites. | ||
About 2.5 M fish were detected. | About 2.5 M fish were detected. | ||
Dataset #2: 690 10 minute video clips from the 9 cameras taken from | Dataset #2: 690 10 minute video clips from the 9 cameras taken from | ||
Línea 14: | Línea 16: | ||
analysis of fish patterns over a full day period and comparison between sites. | analysis of fish patterns over a full day period and comparison between sites. | ||
About 16 M fish were detected. | About 16 M fish were detected. | ||
For each 10 minute video clip, there is also a CSV file that | For each 10 minute video clip, there is also a CSV file that | ||
describes all fish ( of a sufficient size) that were detected in the video, | describes all fish ( of a sufficient size) that were detected in the video, | ||
including a boundary and a species identification. | including a boundary and a species identification. | ||
There were up to 24 species recognized. | There were up to 24 species recognized. | ||
You might find the datasets useful for target detection in a tough undersea | You might find the datasets useful for target detection in a tough undersea | ||
environment, multi-class recognition (where there are many false detections | environment, multi-class recognition (where there are many false detections | ||
and mis-classifications), or even a bit of ecological analysis. | and mis-classifications), or even a bit of ecological analysis. | ||
You can find the data at: | You can find the data at: | ||
http://groups.inf.ed.ac.uk/f4k/F4KDATASAMPLES/INTERFACE/DATASAMPLES/search.php | http://groups.inf.ed.ac.uk/f4k/F4KDATASAMPLES/INTERFACE/DATASAMPLES/search.php | ||
Use of the data should include this citation: | Use of the data should include this citation: | ||
Bastiaan J. Boom, Jiyin He, Simone Palazzo, Phoenix X. Huang, Hsiu-Mei Chou, | Bastiaan J. Boom, Jiyin He, Simone Palazzo, Phoenix X. Huang, Hsiu-Mei Chou, |
Revisión actual - 23:59 13 may 2014
The Fish4Knowledge project (groups.inf.ed.ac.uk/f4k/) is pleased to announce the availability of 2 subsets of our tropical coral reef fish video and extracted fish data. See below for 3 other Fish4Knowledge project datasets.
Dataset #1: a 10 minute video clip from all working cameras taken at 08:00
every day in the project Oct 1, 2010 - July 10, 2013, giving 5824 video clips
(of 7-30 Mb). Note, some dates are missing. This data allows analysis of fish
patterns over annual cycles and comparison between sites.
About 2.5 M fish were detected.
Dataset #2: 690 10 minute video clips from the 9 cameras taken from
06:00 - 19:00 on April 22, 2011 (out of 702 possible). This data allows
analysis of fish patterns over a full day period and comparison between sites.
About 16 M fish were detected.
For each 10 minute video clip, there is also a CSV file that
describes all fish ( of a sufficient size) that were detected in the video,
including a boundary and a species identification.
There were up to 24 species recognized.
You might find the datasets useful for target detection in a tough undersea
environment, multi-class recognition (where there are many false detections
and mis-classifications), or even a bit of ecological analysis.
You can find the data at:
http://groups.inf.ed.ac.uk/f4k/F4KDATASAMPLES/INTERFACE/DATASAMPLES/search.php
Use of the data should include this citation:
Bastiaan J. Boom, Jiyin He, Simone Palazzo, Phoenix X. Huang, Hsiu-Mei Chou,
Fang-Pang Lin, Concetto Spampinato, Robert B. Fisher;
A research tool for long-term and continuous analysis of fish
assemblage in coral-reefs using underwater camera footage.
Ecological Informatics, 2014, DOI: dx.doi.org/10.1016/j.ecoinf.2013.10.006.
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Can I also mention 3 other Fish4Knowledge project ground-truthed datasets:
- Underwater benchmark dataset for target detection against complex backgrounds
- Fish species recognition
- Trajectory-based fish behavior analysis
See: http://groups.inf.ed.ac.uk/f4k/GROUNDTRUTH/
Best wishes, the Fish4Knowledge team