SeaTurtleID is a public large-scale, long-span dataset with sea turtle photographs captured in the wild. The dataset is suitable for benchmarking re-identification methods and evaluating several other computer vision tasks. It consists of 7774 high-resolution photographs of 400 unique individuals collected within 12 years in 1081 encounters. Each photograph is accompanied by rich metadata, e.g., identity label, head segmentation mask, and encounter timestamp.
Source: SeaTurtleID: A novel long-span dataset highlighting the importance of timestamps in wildlife re-identificationPaper | Code | Results | Date | Stars |
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