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SNAPMe: A Benchmark Dataset of Food Photos with Food Records for Evaluation of Computer Vision Algorithms in the Context of Dietary Assessment

    We conducted the Surveying Nutrient Assessment with Photographs of Meals (SNAPMe) Study (ClinicalTrials ID: NCT05008653) to develop a benchmark dataset of food photographs paired with traditional food records. The SNAPMe DB includes 1,475 “before” photos of non-packaged foods, 1,436 “after” photos of non-packaged foods, 203 “front” photos of packaged foods, and 196 “ingredient” labels of packaged foods. Each line item of each ASA24 food record is linked to the relevant photo. These data will be transformative for the improvement of artificial intelligence algorithms for the adoption of photo-based dietary assessment in nutrition research.

    FoodData Central

      Several USDA food composition databases, including the Food and Nutrient Database for Dietary Studies (FNDDS), Standard Reference (SR) Legacy, and the USDA Branded Food Products Database, have transitioned to FoodData Central, a new and harmonized USDA food and nutrient data system. FoodData Central will also include expanded nutrient content information never before available, as well as links to diverse data sources that offer related agricultural, food, health, dietary supplement, and other information.

      Soil Texture Calculator

        The Soil Texture Calculator web tool allows the user to input sand and clay percentages to obtain the soil texture. An Excel version is also available for download.

        CottonGen Sequence Retrieval

          Sequence Retrieval allows users to download nucleotide and protein sequences including chromosomes, scaffolds, genes, mRNAs, transcript coding sequences, protein, reftrans contigs and unigene contigs. For the sequences aligned to larger sequences, such as genes, mRNAs and transcript coding sequences, a numeric value specifying the number of upstream bases and downstream bases can be entered.

          CottonGen Map Viewer

            MapViewer is a graphical tool for viewing and comparing *Gossypium* spp. genetic maps. It includes dynamically scrollable maps, correspondence matrices, dot plots, links to details about map features, and exporting functionality. It was developed by the MainLab at Washington State University and is available for download for use in other Tripal databases.

            CottonGen JBrowse

              CottonGen has an instance of the JBrowse genome browser for viewing genome data. A list of the Whole Genomes and Chloroplast Genomes is available together with a JBrowse tutorial for more details about how to navigate and use JBrowse.

              CottonGen BLAST

                CottonGen offers BLAST with genome, transcriptome, peptide and marker sequence databases from *Gossypium* species. This can be done using nucleotide sequences or peptide sequences. BLAST functionality is similar to that on NCBI.