Fish id -  fishing app verify

Fish id - fishing app verify

By Klimin Marketing SpA

  • Category: Education
  • Release Date: 2024-07-18
  • Current Version: 1.3.3
  • Adult Rating: 4+
  • File Size: 36.21 MB
  • Developer: Klimin Marketing SpA
  • Compatibility: Requires iOS 16.4 or later.
Score: 2.8
2.85714
From 7 Ratings

Description

Welcome to "Fish Picture Identifier," the innovative app that changes how you explore the underwater world. Whether you're a fishing fan, marine explorer, or simply intrigued by ocean life, this app combines cutting-edge technology with nature. Here's why "Fish Picture Identifier" is an essential tool for your aquatic adventures: AI Fish Identifier Uncover the identity of any fish in seconds! Our advanced AI scanner accurately identifies numerous fish species. Snap a photo, and the app takes care of the rest. Perfect for anglers, marine biologists, and nature enthusiasts. Smart Fish Finder Navigate waters with ease using our user-friendly fish finder feature. Whether on a boat, by a lake, or along a river, the app offers tips to help you locate and identify fish nearby. It's like having a personal fishing guide with you. Extensive Fish Species Database Discover a vast database filled with information on various fish species. Ideal for education, conservation, or enhancing your fishing trips, this feature ensures you're well-informed about the marine life you encounter. With "Fish Identifier" you're not just getting an app; you're unlocking a new way to connect with the aquatic world. This tool blends discovery with learning, making each fishing trip or marine exploration an extraordinary experience. Download now and enter a new era of fish identification and exploration! ----------- Got Questions? If you have any inquiries or need assistance, feel free to contact us at [email protected] Terms of Use: https://klimin.marketing/pages/terms Privacy First: https://klimin.marketing/pages/privacy-policy

Screenshots

Reviews

  • Useless

    1
    By Moss61
    Frequently inaccurate. Identication algorithms are flawed, giving useless results. Would not recommend.

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