Merlin Bird ID by Cornell Lab
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4.4
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Developer
Cornell Lab of Ornithology
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Category
Books & Reference
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Version
3.0
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Android OS
6.0 and up
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Downloads
1M
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Content rating
Rated for 3+
Pro
👍 1. Accurate bird identification: Merlin Bird ID by Cornell Lab uses powerful machine learning algorithms to analyze your bird photos and give you accurate identification results. This can be especially useful for amateur birdwatchers or those who are not familiar with a wide range of bird species.
👍 2. User-friendly interface: The application has a simple and intuitive interface that makes it easy for anyone to use. Whether you're a beginner or an experienced birder, you can navigate through the app effortlessly and quickly get the information you need.
👍 3. Extensive bird database: Merlin Bird ID has a vast database of bird species that covers North America and offers detailed information about each bird. The app also provides useful bird sounds, range maps, and other essential information that can help you learn more about the birds you encounter.
Con
👎 1. Limited database: While Merlin Bird ID has a vast database of bird species, it may not include every single bird species in existence. This can be a shortcoming especially for rare or lesser-known bird species that users may encounter in the field.
👎 2. Difficulty in capturing clear images: To identify a bird using the app, users need to take a clear photo of the bird. However, it can be challenging to get a clear photo of a bird in the wild, especially if it is moving quickly or if the lighting conditions are poor. This can hinder the accuracy of the app's identification process.
👎 3. Reliance on visual identification: Merlin Bird ID primarily relies on visual cues, such as color and patterns, to identify bird species. While this can be effective in many cases, there are instances where other important identification cues, such as bird songs or calls, behavior, or habitat preferences, are not taken into account. This can limit the app's accuracy in certain situations where visual identification alone may not be sufficient.
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