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Taxabind Vit B 16
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Taxabind Vit B 16
Developed by MVRL
TaxaBind is a multimodal embedding space model incorporating six modalities, focusing on ecological applications, supporting zero-shot classification of species images using taxonomic text categories.
Downloads 3,672
Release Time : 10/15/2024
Model Overview
TaxaBind is a multimodal embedding space model primarily used for species image classification in ecological fields. Based on the open_clip format, it includes image and text modalities, enabling zero-shot image classification tasks.
Model Features
Multimodal embedding space
Supports embedding space for six modalities, focusing on ecological applications.
Zero-shot classification
Capable of performing zero-shot classification of species images using taxonomic text categories.
Optimized for ecological applications
Specifically optimized for species identification and classification tasks in ecological fields.
Model Capabilities
Zero-shot image classification
Multimodal embedding
Species identification
Use Cases
Ecological research
Species image classification
Classify images of unknown species using taxonomic text categories.
Biodiversity monitoring
Automatically identify and classify species images captured in the wild for biodiversity studies.
Education
Species identification teaching
Assist students or the public in identifying and learning about different species.
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