iBird Photo Sleuth is a reference tool for North American bird identification that utilizes Apple’s CoreML machine learning to analyze user-provided photographs. The app functions offline and offers an integrated community forum for expert assistance with difficult identifications.
Overview · Full Intel report in progress
The App DNA
What makes this app unique?
For Bird enthusiasts and amateur ornithologists seeking automated identification tools for field use.
What does it look like?
Key features
Uses a machine learning model trained on over 2 million bird images to identify species from photographs.
The CoreML database is contained within the app, allowing for identification without an internet connection.
Provides access to a community forum with over 100,000 members for additional identification support from ornithology experts.
Supports bird identification using photos taken directly via the camera or selected from the device's photo gallery.
How much does it cost?
Velocity
Maintenance developmentShow more...
5 versions in history. Development pace: maintenance.
Who built it?
Mitch Waite
8 apps tracked · Reference
iBird Ultimate Guide to Birds
iBird Yard+ Guide to Birds
iBird Hawaii & Palau Guide
iBird Pro Guide to Birds
iBird UK Pro Guide to Birds
iBird Stickers
iBird Classic ProUser Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for iBird Photo Sleuth
How's the Reference market?
The rivals identified
The Analyst's Read
Key takeaways for iBird Photo Sleuth
Where is it heading?
Bottom line
The app provides an offline, machine-learning-based identification tool for North American birds, though user feedback indicates variable accuracy in real-world conditions.
Report last updated