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No GPS data is available for mapping.
Identified as: GSB136
Matched by: Pattern match
In this dialog box, you can add an encounter to a new or existing marked individual or remove the encounter from a marked individual if already assigned.
Alternate ID:
Occurrence ID: None assigned.
MetadataNumber: eaff27bd-b853-47ad-8e8e-dfed618ffa1a
Workflow state: approved Set Workflow State
|
Type | Size | Units | |
---|---|---|---|
Set Physical Measurements
TrackingMetal Tags
Manage Physical Tag Data |
Date
Unknown
Reset Encounter Date Set Verbatim Event Date |
Taxonomy Stereolepis gigas
Reset genus and species
Status: alive
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Sex:
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Noticeable scarring: tail damage
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Behavior: None
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Leave blank if unknown.Group Role: None
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Leave blank if unknown.Patterning code: None
Edit Patterning Code
Leave blank if unknown.Life stage: adult
Reset life stage
Additional comments:
This is the first Giant Sea Bass I ever saw!! I was SOOO EXCITED!!!
I saw this Giant Sea Bass and it was very curious. It came and left us 3 times over about a 17 minute time frame (from the first picture to the last). All these pictures and videos are of the same fish. Floor depth was 51 feet but average depth of sighting was 30-40 feet.
I have a 33 second video (probably the best one I took that day of this fish) that is too big to upload here. Here is a link to the video and also a link where I uploaded to YouTube.
https://drive.google.com/open?id=1FVB7KQ0WYBG6mDwNt0r2txiCQi2BX4U6
https://youtu.be/OAlkPD9flvM
Additionally, the videos I shared here I also uploaded to Youtube and are shot in 4K resolution, so you may get better quality there. I am NOT trying to boost my Youtube views, just trying to help. I hope you can use them.
https://www.youtube.com/channel/UC-tZTKg7fx-UWoC06R1WRcg/videos
Edit Submitted Comments
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Add Observation
Spot Matching Algorithms (Modified Groth and I3S)
Extracted Spots
16 left-side spots added. 16 right-side spots added. |
Pattern Matching Results
Groth: Left-side scan results
The machine learning queue is empty and ready for work.
No configured algorithm for this annotation class.