111,924 Encounters · 26,265 Individuals
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The 'gold standard' for sea turtle population monitoring programs are long-term capture-mark-recapture (CMR) studies on nesting beaches as well as foraging areas for populations. Comprehensive CMR studies facilitate robust abundance assessments and diagnoses of population trends, which, in turn, inform effective conservation management efforts.
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Algorithms
MIEW-ID
MIEW-ID (µID) is a modern deep learning algorithm used to identify individuals. MIEW-ID can learn what makes images similar or dissimilar (or what differentiates one animal from another) across a wide range of species. Distinguishing individuals through their unique body markings is a key concept for wildlife conservation. MIEW-ID learns embeddings for images from the database. Embeddings are the unique markings that represent individuals. When new images are analyzed, their embeddings are matched against clusters of those in the database. As an added benefit, MIEW-ID is able generate visualizations of matched features, providing import inspectability inside its neural network. Learn more about MIEW-ID.
HOTSPOTTER
Hotspotter is a SIFT-based computer vision algorithm. It analyzes the textures in an image to find distinct patterning, or "hot spots", and then compares those against other images in the database. Unlike machine learning-based approaches, HotSpotter can help build new catalogs for new species that need to match individuals but don’t have the training data yet for machine learning-based approaches. Hotspotter can also match new individuals without the need for network retraining. Hotspotter produces a ranked list of potential matches, increasing match scores with increasing similarity. Learn more about Hotspotter.
MIEW-ID (µID) is a modern deep learning algorithm used to identify individuals. MIEW-ID can learn what makes images similar or dissimilar (or what differentiates one animal from another) across a wide range of species. Distinguishing individuals through their unique body markings is a key concept for wildlife conservation. MIEW-ID learns embeddings for images from the database. Embeddings are the unique markings that represent individuals. When new images are analyzed, their embeddings are matched against clusters of those in the database. As an added benefit, MIEW-ID is able generate visualizations of matched features, providing import inspectability inside its neural network. Learn more about MIEW-ID.
HOTSPOTTER
Hotspotter is a SIFT-based computer vision algorithm. It analyzes the textures in an image to find distinct patterning, or "hot spots", and then compares those against other images in the database. Unlike machine learning-based approaches, HotSpotter can help build new catalogs for new species that need to match individuals but don’t have the training data yet for machine learning-based approaches. Hotspotter can also match new individuals without the need for network retraining. Hotspotter produces a ranked list of potential matches, increasing match scores with increasing similarity. Learn more about Hotspotter.
Species
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ALDABRACHELYS GIGANTEA
Aldabra giant tortoise CARETTA CARETTA Loggerhead turtle CHELONIA MYDAS Green turtle CUORA BOURRETI Bourret's box turtle CUORA PICTURATA Southern Vietnamese box turtle DERMOCHELYS CORIACEA Leatherback sea turtle |
ERETMOCHELYS IMBRICATA
Hawksbill turtle LEPIDOCHELYS KEMPII Kemp's ridley sea turtle LEPIDOCHELYS OLIVACEA Olive Ridley turtle MALACLEMYS TERRAPIN Diamondback terrapin NATATOR DEPRESSUS Flatback sea turtle TERRAPENE CAROLINA Common box turtle |
