Mikke Fish ID
Identify Every Fish by Photo
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Description

\ Thank you 450K downloads / [AI Fish judgment app by photo]
A Q&A community dedicated to questions and answers about fish names is here!

It has the following features:
- You can post a photo and ask a question about the name of the fish.
- To answer the question, enter the name of the fish and you will see a list of candidates to choose from.
- The correctness of the answer is evaluated by the votes of the viewers.
This is very different from conventional bulletin boards and Q&A, where the correctness of the answer is evaluated by the votes of the browsing users other than the questioner and the answerer.

Let's bring each other's knowledge and enjoy fish identification.



【Verify A Fish By Photo】
Mikke is the fish identifier with image recognition AI and Q&A community.

"What kind of fish is this? As soon as you wonder, take the picture of it, upload it to the photo AI. It will immediately give you a candidate fish species. and it will give you a list of possible fish species. If the AI can't figure it out, you can ask questions in the Q&A community. The community specializes in asking and answering questions about fish names, so you'll get answers from people who know a lot about them. It is useful not only when you go fishing or playing in and around the water but also for a school project of a summer vacation.

The identification is based on species and groups. If the specie can't be identified, try it again with groups. The app subjects to fish in the sea around Japan excluding a squid group and an octopus group.

【How to use Q&A community?】
It has the following features:
- You can post a photo and ask a question about the name of the fish.
- To answer the question, enter the name of the fish and you will see a list of candidates to choose from.
- The correctness of the answer is evaluated by the votes of the viewers.
This is very different from conventional bulletin boards and Q&A, where the correctness of the answer is evaluated by the votes of the browsing users other than the questioner and the answerer.

Let's bring each other's knowledge and enjoy fish identification.

【The identification accuracy of the AI is more than 70%】

Identifying fish from photographs is quite difficult even for the experts. Given that, Fish Search has such a high accuracy of 70%(*1) out of 80 suggested species. Furthermore, its accuracy goes up to 90%(*2) when it comes to groups. Please note that the accuracy will change depending on the specie or your way of taking a photography.

Roughly, you would get three right answers out of four by the species identification.

*1, *2 The numbers are based on the data of an experiment subjecting to 200 kinds of fish that are popular in the sea around Japan.


【A tip to improve the identification accuracy of the AI】

A picture on the following conditions will improve the identification accuracy.

●Take a picture of only one fish
●Place the head left and take the picture from its side except for flat fish group.
●Take a picture of a whole fish, from the tail to the head.
●Chose a simple background
●Take a clear picture

A picture on the following conditions is not good.

●There are more than 2 fish.
●There are other things than fish such as a hand of a person.
●A long fish such as eel.
●Only head or only tail is taken.
●There is only back side of fish since it is taken from the above of it.
●It is difficult to distinguish the background and the fish.


【For all who love fish】

This app has been developed based on the "WEB Fish Encyclopedia", which has data of
about 50,000+ kinds of fish. In order to improve accuracy of the app, we made the best use of inventiveness in the back end system.

We flatter ourselves that we have created the best fish identifier so far, yet it doesn't have 100% accuracy because of the characteristic of its system. We hope you will understand that and enjoy this app as a simple and easy tool to identify fish.
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App Info

Category
Reference
Publisher
zukan.com Inc.
Languages
English, Japanese
Recent version
4.11.0 (7 months ago )
Released on
May 12, 2014 (10 years ago )
Last updated
2 days ago