Labeled images of emerged salmonids in a riverine environment

• Published in: BMC research notes Vol. 17; no. 1; pp. 348 - 5
• Main Authors: Jagadeesan, Sethu Mettukulam, Gregory, Jonathan, Leh, Jordan, Eickholt, Jesse, Zielinski, Daniel P
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27.11.2024; BioMed Central; BMC
• Subjects: Analysis; Animals; Annotated images of fish; Data Note; Diseases; Emerged fish; Fishes; Genetic aspects; Growth; Labelled fish dataset; Machine learning; Michigan; Natural resources; Object detection; Protection and preservation; Rivers; Salmonidae; Unintended passage; United States; United States; Michigan; Unintended passage; Labelled fish dataset; Emerged fish; Annotated images of fish; Object detection

These data enable the development of machine learned models to detect unintended passage of salmonids over in-stream barriers. Such models are key to fully characterizing the effectiveness of selective passage systems, as they detect and quantify fish passage which occurs outside of the intended tra...