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COCO - Common Objects in Context
COCO offers a large, labeled image dataset for computer vision research, including object detection, segmentation, and captioning tasks. Free to access.
Explore a leading dataset for image recognition tasks
COCO (Common Objects in Context) is a widely used resource for computer vision research and development. Here, you can access a massive collection of images, each carefully labeled with objects, segmentation masks, keypoints, and captions. The dataset is designed to help you build and test models for tasks like object detection, image segmentation, and image captioning.
Whether you're a researcher, student, or developer, COCO gives you the tools and data you need to advance your projects. The platform also provides links to related tasks and evaluation tools, making it easy to compare results and stay up-to-date with the latest benchmarks in the field.
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Access and share genomic data on viruses like influenza and COVID-19. GISAID supports global research and public health collaboration.
openICPSR lets you share and access behavioral health and social science research data for free, supporting open science and public research access.
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DataONE connects you to a vast network of Earth and environmental data, offering tools and training to help researchers access, share, and manage data.
Explore human gene expression and regulation across tissues with open-access data, visualizations, and resources from the Genotype-Tissue Expression (GTEx) project.
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Access a global archive of nucleotide sequence data, from raw reads to annotated sequences, for research and scientific collaboration worldwide.
IMGT offers expertly curated immunogenetics databases and online analysis tools for researchers studying antibodies, T cell receptors, and immune responses.
Explore Richard Szeliski's research, publications, and contributions in computer vision and computational photography, with links to key papers and resources.
VIAF links name authority files from libraries worldwide, making it easy to find and connect information about authors and organizations in one place.
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Access global nuclear data, research tools, and resources from the IAEA for science, energy, medicine, and safety applications worldwide.
ImageNet is a large research database of labeled images, widely used for computer vision and AI research, maintained by Stanford and Princeton University.
Explore comprehensive gene function data and annotations to support biological research, with tools for accessing, browsing, and contributing to gene ontology.
PharmGKB is a pharmacogenomics research database with curated information on how genetic variation affects drug response and treatment outcomes.
Explore how environmental chemicals impact human health with CTD, a research database linking chemicals, genes, and diseases for scientific discovery.
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BindingDB is a database of measured protein–ligand binding affinities, helping researchers find and analyze chemical and biological interaction data.
BioGRID is a free online database offering searchable and downloadable data on protein, genetic, and chemical interactions across major model organisms.
Explore and access a wide range of biomedical ontologies and vocabularies to support research, data sharing, and collaboration in life sciences.
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MycoBank is an online database for fungal taxonomy, offering detailed information about fungi species, names, and related scientific data.
Access open, curated databases of microbial genome sequences and typing data for over 140 species, including provenance and phenotype information.
FAIRsharing helps you find, share, and cite data standards, databases, and policies for research across disciplines.
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Research group at HTW Berlin focusing on machine learning, computer vision, and visualization for advanced visual computing projects.
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Cityscapes offers a richly annotated dataset for urban street scenes, supporting research and development in computer vision and autonomous driving.
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