Set Location
Set reported country
Leave blank if unknown.Set Location ID
Set Depth
No GPS data is available for mapping.
Identified as: G-759
Matched by: Unmatched first encounter
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:
Event ID: youtube:w0AI9fg8PzY
Occurrence ID: f09d64be-0d5b-4be7-9ead-95e09392a2ee
MetadataNumber: 179d54f2-e9f7-4812-8060-190b42d4e46c
Workflow state: approved Set Workflow State
|
Type | Size | Units | |
---|---|---|---|
Length | Meters | ||
Water Temperature | Celsius |
Set Physical Measurements
TrackingMetal Tags
Manage Physical Tag Data Acoustic Tag
Set Acoustic Tag Metadata Satellite Tag
Set Satellite Tag Metadata |
Date
Unknown
Reset Encounter Date Set Verbatim Event Date |
Taxonomy Rhincodon typus
Reset genus and species
Status:
Reset Status
Sex: unknown
Reset Sex
Noticeable scarring: None
Edit scarring description
Behavior: None
Edit Behavior
Leave blank if unknown.Group Role: None
Edit Group Role
Leave blank if unknown.Life stage:
Reset life stage
Additional comments:
Auto-sourced from YouTube Parent Video: w0AI9fg8PzY From YouTube video: Galapagos 2018 Galapagos highlights: Wolf, Darwin, Cabo Douglas, Cabo San Vicente. Whalesharks, Hammerheads, Mola Mola, Iguanas, Seahorses tags: ["Galapagos","Wolf","Darwin","Isabella","Fernandina","Hammerhai","hammerhead","Mola Mola","amblyrhincus cristatus","Marine Iguana"]
Edit Submitted Comments
bestDetectionConfidence: 0.9343
Set bestDetectionConfidence
From this dialog, you can change the value of this observation or delete it by leaving the value empty.
frameSplitNumber: 2
Set frameSplitNumber
From this dialog, you can change the value of this observation or delete it by leaving the value empty.
Add Observation
Spot Matching Algorithms (Modified Groth and I3S)
Extracted Spots
15 left-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.