Maniyambath, Angad and Krishnan, Rama
2026.
FishTally: automated fish detection and counting tool.
SoftwareX
34
, 102643.
10.1016/j.softx.2026.102643
|
|
PDF
- Published Version
Available under License Creative Commons Attribution. Download (3MB) |
Abstract
Accurate fish population monitoring is essential for sustainable aquaculture and marine ecology. Manual counting is labour-intensive, error-prone, and slow. FishTally automates species-specific counting by combining YOLOv8 for high-precision detection with ByteTrack for robust multi-object tracking. Its real-time detection–association pipeline maintains accuracy under occlusion, variable lighting, and water turbidity. A customisable command-line interface lets users tune thresholds and define line- or polygon-counting zones across diverse habitats. It processes continuous video streams for population analysis. Evaluations on DeepFish show strong precision and recall for single- and multi-species models, reducing human error, lowering costs, and improving time-sensitive decision-making for conservation and operations.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Biosciences |
| Publisher: | Elsevier BV |
| ISSN: | 2352-7110 |
| Date of First Compliant Deposit: | 20 April 2026 |
| Date of Acceptance: | 4 April 2026 |
| Last Modified: | 20 Apr 2026 13:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/186504 |
Actions (repository staff only)
![]() |
Edit Item |




Altmetric
Altmetric