FishSnap - Fishial Recognition
by Dulio Denis more by this developer →
#389,776 of 726,788 by ratings on Apple · #8,521 of 15,019 in Reference
First seen by this census 09/05/2026 — the store does not publish a creation date
Last updated 02/15/2018
Tracked since 09/05/2026
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Category: Reference
Description
A mobile image recognition app that uses a custom fish category dataset as a pre-trained model for Core ML to classify what type of fish is in your photo.
This allows smaller/poorly-funded fishers to quickly assess the nature/value of their catch and to track fish locations by the scans. This data collection will both facilitate aquatic marine studies and further improve the machine learning of the image recognition.
Winner of the Fishackathon 2018 NYC this “fish identification” tool is designed to help minimize human errors, the need for expensive fish surveys on vessels, and allow smaller/poorly-funded fishers to better assess the nature/value of their catch.
It is the hope that this app would be adopted by many regulatory and research agencies as well as the private sector to aid in the identification of fish species from citizen-science collected data.
This application offers the flexible in implementation to allow for integration of other features in the near future.
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Growth
Change in ratings, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.
| Per | Growth | Growth % | Actual change | Measured over |
|---|---|---|---|---|
| day | Not enough history yet | |||
| week | 0 | — | 0 | 12.6 days |
| month | Not enough history yet | |||
| year | Not enough history yet | |||
History
Tracking since 09/05/2026. History accumulates as changes are observed — check back soon.