100+ datasets found
  1. i

    SEG-FOOD Semantic Food Segmentation Through Deep Learning

    • ieee-dataport.org
    Updated May 18, 2022
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    Chu Kiong Loo (2022). SEG-FOOD Semantic Food Segmentation Through Deep Learning [Dataset]. https://ieee-dataport.org/open-access/seg-food-semantic-food-segmentation-through-deep-learning
    Explore at:
    Dataset updated
    May 18, 2022
    Authors
    Chu Kiong Loo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    PFID

  2. P

    FoodSeg103 Dataset

    • paperswithcode.com
    Updated May 13, 2021
    + more versions
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    Xiongwei Wu; Xin Fu; Ying Liu; Ee-Peng Lim; Steven C. H. Hoi; Qianru Sun (2021). FoodSeg103 Dataset [Dataset]. https://paperswithcode.com/dataset/foodseg103
    Explore at:
    Dataset updated
    May 13, 2021
    Authors
    Xiongwei Wu; Xin Fu; Ying Liu; Ee-Peng Lim; Steven C. H. Hoi; Qianru Sun
    Description

    FoodSeg103 is a new food image dataset containing 7,118 images. Images are annotated with 104 ingredient classes and each image has an average of 6 ingredient labels and pixel-wise masks. It's provided as a large-scale benchmark for food image segmentation.

    Major Challenges:

    High intra-variance of the same food ingredient with different cooking methods Long-tail distribution Complicated contexts

  3. Size of the food market in the United States in 2024, by segment

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Size of the food market in the United States in 2024, by segment [Dataset]. https://www.statista.com/forecasts/1380950/size-of-the-food-market-in-the-united-states-by-segment
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2024 - Dec 31, 2024
    Area covered
    United States
    Description

    Concerning the ** selected segments, the segment Confectionery & Snacks has the largest revenue with ****** billion U.S. dollars. Contrastingly, Baby Food is ranked last, with **** billion U.S. dollars. Their difference, compared to Confectionery & Snacks, lies at ****** billion U.S. dollars. Find more statistics on other topics: a comparison of countries or regions regarding the revenue.The Statista Market Insights cover a broad range of additional markets.

  4. R

    Food Segmentation Dataset

    • universe.roboflow.com
    zip
    Updated Jun 16, 2025
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    FoodSegmentation (2025). Food Segmentation Dataset [Dataset]. https://universe.roboflow.com/foodsegmentation-y4ncl/food-segmentation-aiqle
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    FoodSegmentation
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Comida Polygons
    Description

    Preparation of a dataset to train a food segmentation model

  5. Fast Food Segment

    • statistics.technavio.org
    Updated May 25, 2024
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    Technavio (2024). Fast Food Segment [Dataset]. https://statistics.technavio.org/fast-food-segment
    Explore at:
    Dataset updated
    May 25, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Worldwide
    Description

    Download Free Sample
    Fast Food Market Segment Analysis - Forecast Period 2021-2025

    The Fast Food Market can be primarily categorized into Product and Geography. The subsegments explored in the Fast Food Market research are as follows:

    Fast Food Market Segmentation by Product
    
    
      Non-vegetarian fast food
      Vegetarian fast food
    
    
    Fast Food Market Segmentation by Geography
    
      North America
      APAC
      Europe
      South America
      MEA
    

    To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments. This report provides an accurate prediction of the contribution of all the segments to the growth of the fast-food market size and actionable market insights on post-COVID-19 impact on each segment.

    Key Data Covered in this Fast Food Market Report:

    CAGR of the market during the forecast period 2021-2025
    Detailed information on factors that will drive fast food market growth during the next five years
    Precise estimation of the fast food market size and its contribution to the parent market
    Accurate predictions on upcoming trends and changes in consumer behavior
    The growth of the fast food market industry across North America, APAC, Europe, South America, and MEA
    A thorough analysis of the market's competitive landscape and detailed information on vendors
    Comprehensive details of factors that will challenge the growth of fast food market vendors
    

    To gain detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans, request free sample report here!

  6. R

    Food Instance Segmentation Dataset

    • universe.roboflow.com
    zip
    Updated Jan 21, 2025
    + more versions
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    3ura (2025). Food Instance Segmentation Dataset [Dataset]. https://universe.roboflow.com/3ura/food-instance-segmentation-pnp7k
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    zipAvailable download formats
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    3ura
    Variables measured
    Food Polygons
    Description

    Food Instance Segmentation

    ## Overview
    
    Food Instance Segmentation is a dataset for instance segmentation tasks - it contains Food annotations for 1,325 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
  7. Global: snack food market volume 2020-2030, by segment

    • statista.com
    • ai-chatbox.pro
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). Global: snack food market volume 2020-2030, by segment [Dataset]. https://www.statista.com/forecasts/1231123/snack-food-market-volume-by-segment-worldwide
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The volume is forecast to experience significant growth in all segments in 2030. The trend observed from 2020 to 2030 remains consistent throughout the entire forecast period. There is a continuous increase in the volume across all segments. Notably, the Cookies & Crackers segment achieves the highest value of ***** billion kilograms at 2030. Find other insights concerning similar markets and segments, such as a comparison of revenue in Canada and a comparison of per capita sales volume in Belgium.The Statista Market Insights cover a broad range of additional markets.

  8. R

    Food Seg V17 Dataset

    • universe.roboflow.com
    zip
    Updated Mar 8, 2023
    + more versions
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    SeniorResearch (2023). Food Seg V17 Dataset [Dataset]. https://universe.roboflow.com/seniorresearch/food-seg-v17
    Explore at:
    zipAvailable download formats
    Dataset updated
    Mar 8, 2023
    Dataset authored and provided by
    SeniorResearch
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Food Polygons
    Description

    Food Seg V17

    ## Overview
    
    Food Seg  V17 is a dataset for instance segmentation tasks - it contains Food annotations for 1,627 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  9. R

    Food Segment Classification Mixed Dish Only Dataset

    • universe.roboflow.com
    zip
    Updated Jul 1, 2025
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    FYP (2025). Food Segment Classification Mixed Dish Only Dataset [Dataset]. https://universe.roboflow.com/fyp-tyepk/food-segment-classification-mixed-dish-only
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    FYP
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Rice 3fYb Masks
    Description

    Food Segment Classification Mixed Dish Only

    ## Overview
    
    Food Segment Classification Mixed Dish Only is a dataset for semantic segmentation tasks - it contains Rice 3fYb annotations for 266 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  10. s

    Food Segmentation Dataset

    • shaip.com
    • hmn.shaip.com
    json
    Updated Nov 26, 2024
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    Shaip (2024). Food Segmentation Dataset [Dataset]. https://www.shaip.com/offerings/specific-object-contour-segmentation-datasets/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 26, 2024
    Dataset authored and provided by
    Shaip
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Food Segmentation Dataset serves the tourism and visual entertainment sectors, consisting of a curated selection of internet-collected images with resolutions from 256 x 256 to 1024 x 768 pixels. This dataset is dedicated to contour segmentation, focusing on common foods and their accompanying plates or bowls, facilitating detailed analysis and representation in various applications.

  11. Frozen Food Market Segmentation

    • statistics.technavio.org
    Updated May 25, 2024
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    Technavio (2024). Frozen Food Market Segmentation [Dataset]. https://statistics.technavio.org/frozen-food-market-segmentation
    Explore at:
    Dataset updated
    May 25, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Worldwide
    Description

    Download Free Sample
    The frozen food market segmentation report helps the market vendors with information about the geographical segmentation of this market.

    With 33%, North America has the highest market share of the frozen food market. One of the key factors that will drive the market growth is demand of vegan frozen food. Growth is organized retail distribution channel will drive the growth of this market in the North America region. To gather more information regarding the geographical landscape distribution, click here for a free sample report.

  12. Volume in the ready-to-eat meals segment of the food market United States...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Volume in the ready-to-eat meals segment of the food market United States 2020-2030 [Dataset]. https://www.statista.com/forecasts/1438204/volume-ready-to-eat-meals-convenience-food-market-united-states
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The volume in the 'Ready-to-Eat Meals' segment of the food market in the United States was forecast to continuously increase between 2025 and 2030 by in total *** billion kilograms (+***** percent). After the sixth consecutive increasing year, the volume is estimated to reach **** billion kilograms and therefore a new peak in 2030. Find further information concerning the price per unit in the 'Fruits & Nuts' segment of the food market in Switzerland and the revenue change in the 'Milk Substitutes' segment of the food market in the United Kingdom. The Statista Market Insights cover a broad range of additional markets.

  13. Global Organic Fast Food Market Size By Demographic Segmentation, By...

    • verifiedmarketresearch.com
    Updated Jul 25, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Organic Fast Food Market Size By Demographic Segmentation, By Geographic Segmentation, By Psychographic Segmentation, By Behavioral Segmentation, By Technological Segmentation, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/organic-fast-food-market/
    Explore at:
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Organic Fast Food Market size was valued at USD 182.5 Billion in 2023 and is projected to reach USD 548.2 Billion by 2031, growing at a CAGR of 13.5% during the forecast period 2024-2031.

    Global Organic Fast Food Market Drivers

    The market drivers for the Organic Fast Food Market can be influenced by various factors. These may include:

    Growing Health Consciousness: With an increasing number of consumers becoming more health-conscious and aware of the link between diet and well-being, there is a strong preference for organic ingredients, which are free from synthetic pesticides, fertilizers, and GMOs. The modern lifestyle, which emphasizes healthier habits and cleaner eating, has significantly boosted the demand for organic fast food. Environmental Awareness: Rising awareness about environmental sustainability and the ecological impact of conventional farming practices is driving consumers towards organic fast food. Organic farming is viewed as more environmentally friendly as it promotes biodiversity, reduces pollution from nitrogen run-off, and conserves water resources. Clean Label Trend: The clean label trend, characterized by demands for transparency in food labeling and minimal ingredient lists, aligns closely with organic fast food offerings. Consumers are increasingly seeking out products with understandable, natural ingredients, propelling the market forward. Innovation in Organic Offerings: Continuous innovation within the organic fast food sector, including new product launches and the introduction of varied cuisines, keeps the market dynamic. With companies leveraging creative combinations of ingredients and flavors, organic fast food appeals to a broader audience including younger demographics and food enthusiasts. Government Support and Regulations: Many governments are actively promoting organic farming and consumption through subsidies, certifications, and awareness programs. These regulations help to assure consumers about the authenticity and benefits of organic products, thereby fostering market growth. Expanded Distribution Channels: The expansion of distribution channels, including the rise of organic fast food chains, online delivery platforms, and mobile food trucks, makes it increasingly convenient for consumers to access organic fast food. Enhanced availability contributes significantly to the market expansion. Socio-Economic Changes: Changes in socio-economic conditions, such as increased disposable incomes and a growing middle class in many parts of the world, have led to greater spending on premium food options, including organic fast food. Consumers are more willing to invest in food that is perceived to be of higher quality and healthier. Influence of Social Media: Social media plays a crucial role in driving trends in the food industry, and organic fast food is no different. Platforms like Instagram and TikTok are filled with influencers and nutritionists advocating for organic diets and highlighting the benefits of organic fast food, thus influencing consumer preferences. Corporate Social Responsibility (CSR): Many companies are incorporating organic fast food into their CSR initiatives, aiming to showcase their commitment to sustainability and health. This strategic alignment not only enhances their corporate image but also drives consumer trust and loyalty towards organic options. Technological Advancements: Technological advancements in food production, preservation, and supply chain management have enabled the scalability of organic fast food. Innovations such as precision farming and blockchain for traceability ensure quality and authenticity, making organic fast food more reliable and appealing to consumers.

  14. R

    Bolivian Food For Segmentation Dataset

    • universe.roboflow.com
    zip
    Updated May 26, 2023
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    Hackacom (2023). Bolivian Food For Segmentation Dataset [Dataset]. https://universe.roboflow.com/hackacom-rp4yx/bolivian-food-for-segmentation
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 26, 2023
    Dataset authored and provided by
    Hackacom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Foord Masks
    Description

    Bolivian Food For Segmentation

    ## Overview
    
    Bolivian Food For Segmentation is a dataset for semantic segmentation tasks - it contains Foord annotations for 575 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  15. Volume in the snack food segment of the food market United States 2020-2030

    • statista.com
    Updated Jul 10, 2025
    + more versions
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    Statista (2025). Volume in the snack food segment of the food market United States 2020-2030 [Dataset]. https://www.statista.com/forecasts/1438487/volume-snack-food-confectionery-snacks-market-united-states
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The volume in the 'Snack Food' segment of the food market in the United States was forecast to continuously increase between 2025 and 2030 by in total *** billion kilograms (+*** percent). After the ninth consecutive increasing year, the volume is estimated to reach **** billion kilograms and therefore a new peak in 2030. Find further information concerning the average revenue per capita in the food market in Japan and the volume in the 'Pet Food' segment of the food market in Germany. The Statista Market Insights cover a broad range of additional markets.

  16. R

    Food Segment Dataset

    • universe.roboflow.com
    zip
    Updated Jun 30, 2025
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    Servant (2025). Food Segment Dataset [Dataset]. https://universe.roboflow.com/servant-jrh0b/plate-food-segment-brfqx/4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Servant
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Dish Food Masks
    Description

    Food Segment

    ## Overview
    
     Food Segment is a dataset for semantic segmentation tasks - it contains Dish Food annotations for 281 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  17. i

    Food Instance Counting and Segmentation

    • ieee-dataport.org
    Updated Jul 9, 2022
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    Thanh Nguyen (2022). Food Instance Counting and Segmentation [Dataset]. https://ieee-dataport.org/documents/food-instance-counting-and-segmentation
    Explore at:
    Dataset updated
    Jul 9, 2022
    Authors
    Thanh Nguyen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset includes the images

  18. Food Botanicals Market Analysis by Plants and Algae through 2034

    • futuremarketinsights.com
    html, pdf
    Updated Jul 16, 2024
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    Future Market Insights (2024). Food Botanicals Market Analysis by Plants and Algae through 2034 [Dataset]. https://www.futuremarketinsights.com/reports/food-botanicals-market
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Authors
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2024 - 2034
    Area covered
    Worldwide
    Description

    The worldwide food botanicals market size is expected to be USD 219.4 billion in 2024. The sector’s progress is expected to happen at a CAGR of 2.2% from 2024 to 2034. By the end of the forecast period, the food botanicals industry value is slated to hit USD 272.8 billion.

    AttributesDescription
    Historical Size, 2023USD 199.5 billion
    Estimated Size, 2024USD 219.4 billion
    Projected Size, 2034USD 272.8 billion
    Value-based CAGR (2024 to 2034)2.2%

    Semi Annual Market Update

    ParticularValue CAGR
    H12.1% (2023 to 2033)
    H22.2% (2023 to 2033)
    H12.3% (2024 to 2034)
    H22.3% (2024 to 2034)

    Country-wise Insights

    CountriesCAGR (2024 to 2034)
    United States2.1%
    United Kingdom2.2%
    France2.4%
    Spain2.5%
    Italy2.6%

    Category-wise Insights

    SegmentPlants (Source)
    Value Share (2024)23.5%
    SegmentDried Plants and Leaves (Form)
    Value Share (2024)34.5%
  19. D

    Mobile Food Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Mobile Food Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/mobile-food-services-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Mobile Food Services Market Outlook



    The global mobile food services market has shown remarkable expansion, with a market size of approximately $23 billion in 2023. It is anticipated to reach $39 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 6.2%. This impressive growth is driven by evolving consumer lifestyles, increased urbanization, and the rising demand for affordable yet high-quality dining options. The market is witnessing a surge in popularity, spurred by the diverse culinary experiences mobile food services provide, along with the flexibility and adaptability they offer to both entrepreneurs and consumers in various regions worldwide.



    One of the primary growth factors for the mobile food services market is the increasing trend of urbanization. As more individuals migrate to cities, the demand for convenient, on-the-go dining options rises. Mobile food services, such as food trucks and carts, present an ideal solution by providing quick, affordable meals without the need for a permanent location. This urban shift not only fuels the proliferation of mobile food units but also encourages innovation among vendors who strive to cater to a diversified urban palate, offering everything from traditional fast food to gourmet and ethnic cuisine. This adaptability allows them to meet the dynamic demands of the urban customer base effectively.



    Another significant contributor to market growth is the increasing consumer preference for unique and diverse food experiences. Today's consumers are more adventurous and willing to explore new cuisines, which has led to a rise in demand for gourmet and ethnic food options available through mobile food services. This shift in consumer behavior has prompted vendors to diversify their menus, thus attracting a broader customer base. The ability of mobile food services to quickly adapt and cater to varied tastes and preferences is a significant advantage, making them a popular choice among consumers seeking unconventional dining experiences outside traditional brick-and-mortar restaurants.



    Technological advancements have also played a crucial role in the growth of the mobile food services market. The integration of technology in operations, such as the use of mobile apps for ordering and payment, GPS for location tracking, and social media for marketing, has enhanced customer convenience and engagement. Technology enables vendors to streamline their operations, reduce costs, and increase efficiency, thereby supporting scalability. Moreover, social media platforms have become powerful tools for food trucks and carts to build a loyal customer base and create buzz around their offerings, significantly contributing to market expansion and visibility.



    Regionally, the mobile food services market exhibits strong growth potential across various geographies, with North America leading the charge due to its well-established food truck culture and high consumer spending power. The Asia Pacific region is also witnessing significant growth, driven by rapid urbanization and a burgeoning middle class with a penchant for diverse culinary experiences. Europe showcases moderate growth, with its vibrant street food scene and increasing acceptance of mobile dining options. Meanwhile, Latin America and the Middle East & Africa regions are gradually embracing mobile food services, spurred by increasing tourism and a growing inclination towards innovative dining concepts. Each of these regions presents unique opportunities and challenges, yet all contribute to the global expansion of the mobile food services market.



    Vehicle Type Analysis



    The vehicle type segment of the mobile food services market is primarily categorized into food trucks, food trailers, and food carts. Food trucks dominate this segment due to their versatility and ability to reach a wide audience. These vehicles offer the flexibility to move locations, providing vendors with the opportunity to explore different markets and attract diverse customer bases. Food trucks are equipped with more extensive cooking facilities, allowing them to serve a broader range of food options, from fast food to gourmet cuisine. This adaptability makes food trucks a popular choice among entrepreneurs looking to enter the mobile food services market.



    Food trailers, while similar to food trucks, offer some distinct advantages, particularly in terms of cost efficiency. They are generally less expensive to purchase and operate, making them an appealing option for start-ups or small businesses with limited capital. Food trailers can be detached from their towing vehicles, provid

  20. R

    Dish Segmentation Dataset

    • universe.roboflow.com
    zip
    Updated Jun 30, 2024
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    thaifood (2024). Dish Segmentation Dataset [Dataset]. https://universe.roboflow.com/thaifood-iiosc/dish-segmentation-97jtv
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 30, 2024
    Dataset authored and provided by
    thaifood
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Food JRvP Polygons
    Description

    Dish Segmentation

    ## Overview
    
    Dish Segmentation is a dataset for instance segmentation tasks - it contains Food JRvP annotations for 959 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
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Chu Kiong Loo (2022). SEG-FOOD Semantic Food Segmentation Through Deep Learning [Dataset]. https://ieee-dataport.org/open-access/seg-food-semantic-food-segmentation-through-deep-learning

SEG-FOOD Semantic Food Segmentation Through Deep Learning

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Dataset updated
May 18, 2022
Authors
Chu Kiong Loo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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