StreetTree is a newly introduced large-scale benchmark dataset containing over 12 million images of more than 8,300 common street tree species from across 133 countries, aimed at advancing fine-grained classification in urban environments. This resource highlights the challenges and limitations of current visual models in dealing with complex urban conditions and offers a valuable tool for researchers and content creators working on hierarchical classification and representation learning in computer vision and urban science.
Read the full article at arXiv cs.CV (Vision)
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Ali NematiWritten by Ali
