JMuBEN dataset will help researchers to be able to test the accuracy of their deep learning models without spending much time going to the field for data collection. The Arabica dataset (JMuBEN) contains images that are useful in training and validation during the utilization of deep learning algorithms used in plant disease recognition and classification. The dataset contains leaf images which were collected from Arabica coffee type and it shows five sets of images. In total, fifty eight thousand five hundred and fifty five (58,555) images of Arabica coffee leaves are included in this dataset. Each image is 128x128.
For further information please refer to https://data.mendeley.com/datasets/tgv3zb82nd/1 and https://data.mendeley.com/datasets/t2r6rszp5c/1
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Coffee rose to 425.45 USd/Lbs on September 15, 2025, up 3.82% from the previous day. Over the past month, Coffee's price has risen 23.82%, and is up 65.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on September of 2025.
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The "Coffee Product Analytics" dataset offers a comprehensive view of various coffee products, providing insights into their types, roast levels, sizes, pricing, and profitability. With unique identifiers for each product, users can delve into the nuances of the coffee offerings. The dataset is a valuable resource for businesses and analysts aiming to understand and optimize the performance of their coffee product portfolio. From detailed pricing information to the profitability of each product, this dataset empowers stakeholders to make informed decisions and tailor their strategies to meet consumer preferences. Whether exploring the diversity of coffee types or analysing the impact of roast levels on sales, the dataset serves as a rich repository of information for those immersed in the coffee industry.
Column Name | Description |
---|---|
Product ID | Unique identifier for each coffee product. |
Coffee Type | Type or variant of the coffee product. |
Roast Type | Roasting level of the coffee (e.g., light, medium, dark). |
Size | Size or quantity of the coffee product. |
Unit Price | Price per unit of the coffee product. |
Price per 100g | Price per 100 grams of the coffee product. |
Profit | Profit earned from the sale of the coffee product. |
Note: This dataset is not yet peer-reviewed. Please see this GitHub README for more information. This image collection provides estimated per-pixel probability that the underlying area is occupied by the commodity. The probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. For details, see the technical documentation on the Forest Data Partnership repo on Github. The primary purpose of this image collection is to support the mission of the Forest Data Partnership which aims to halt and reverse forest loss from commodity production by collaboratively improving global monitoring, supply chain tracking, and restoration. This dataset currently covers the following countries: Brazil, Vietnam, Indonesia, Colombia, Ethiopia, Uganda, Honduras, Peru, Nicaragua, El Salvador. This community data product is meant to evolve over time, as more data becomes available from the community and the model used to produce the maps continuously improves. If you would like to provide general feedback or additional datasets to improve these layers, please reach out through this form. Limitations: Model output is limited to selected countries as calendar year composites for 2020 and 2023. Not all regions of the output are well represented by training data. Accuracy is reported in aggregate, and will vary geographically and with user chosen thresholds. Sensor artifacts based on data availability, cross-track nonuniformity, or cloudiness may be visually apparent in output probabilities and result in classification errors at some thresholds. Note that this dataset has separate terms of use for commercial users of Earth Engine. Please see "Terms of Use" tab for details.
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## Overview
USK COFFEE Dataset is a dataset for instance segmentation tasks - it contains Beans annotations for 7,999 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).
Coffee-Gym/COFFEE-Dataset dataset hosted on Hugging Face and contributed by the HF Datasets community
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This dataset is generated from USDA - United States Department of Agriculture consisting of coffee production, supply, and distribution
- Commodity chosen is Coffee, Green
- Consists of 94 countries.
- Years taken into consideration: 1960-2023
- Unit Description for attribute values is: 1000, 60-kg bags
Coffee consumption in the United States amounted to over ** million 60-kilogram bags in the 2024/2025 fiscal year. This is a slight increase from the total U.S. coffee consumption in the previous fiscal year. Coffee production The coffee plant has its origins in Ethiopia and is now grown all over the world. Most of the world’s coffee is cultivated in South America, followed by Asia and Oceania. In 2024, over ***million 60-kilogram bags of coffee were produced in South America. The majority of South America’s coffee production is attributed to Brazil. In the 2023/2024 fiscal year, global coffee production reached *** million 60-kilogram bags. Coffee brewing in the United States Americans love their coffee and have dozens of different methods and gadgets for brewing and preparing coffee. A 2025 survey of U.S. consumers found that the most commonly used coffee preparation methods were drip coffee makers and single-cup brewers. However, drip coffee makers have become less popular over time. In 2012, ***percent of coffee drinkers used drip coffee makers, while in 2025 this share had dropped to ***percent.
Coffee is one of the most widely consumed beverages in the world. In 2023/24, approximately *** million 60 kilogram bags of coffee were consumed worldwide, a slight increase from about *** million bags in the previous year. Coffee Brewing Innovations The coffee industry is regularly coming up with innovative new methods for brewing coffee and serving it. Single cup brewers are a relatively new innovation which offer a quick and mess-free coffee brewing method for when one only wants a single cup of coffee without the hassle of brewing an entire pot. Cold Brew Coffee Cold brew coffee is made by leaving coffee to brew in cold or room temperature water for 12 to 24 hours and results in a mellower, less acidic tasting coffee. It has become a popular menu item at coffee shops and cafes, but it also easy to make at home. The market for cold brew coffee was valued at *** million U.S. dollars in 2017, and is expected to reach a staggering **** billion U.S. dollars in market value by 2023.
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Graph and download economic data for Consumer Price Index for All Urban Consumers: Coffee in U.S. City Average (CUUR0000SEFP01) from Jan 1967 to Aug 2025 about coffee, urban, consumer, CPI, price index, indexes, price, and USA.
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## Overview
Coffee is a dataset for instance segmentation tasks - it contains Coffee FUC5 annotations for 219 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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According to Cognitive Market Research, the global Coffee Market was valued at approximately USD XX billion in 2025 and is expected to grow to USD XX billion by 2031, expanding at a CAGR of XX% during the forecast period.
North America held largest share of XX% in the year 2025. Europe held share of XX% in the year 2025. Asia-Pacific held significant share of XX% in the year 2025. South America held significant share of XX% in the year 2025. Middle East and Africa held significant share of XX% in the year 2025.
Market Dynamics of Coffee Market
Key Drivers for Coffee Market
Ready-To-Drink (RTD) Coffee to Boost Market Growth
The RTD coffee segment is expanding rapidly due to shifting consumer lifestyles and preferences. As urbanization and busy routines increase, so does the demand for convenient, on-the-go beverage options. RTD coffee meets this need by offering ready-to-consume products with a balance of quality, flavor, and accessibility. Health-conscious trends are also reshaping the market, with consumers seeking low-sugar, functional, and plant-based options. Manufacturers are responding with innovative offerings that align with modern dietary preferences while maintaining the ease and appeal that define RTD coffee. Generational preferences play a key role in driving this growth, particularly among younger consumers who prioritize both energy and convenience. Flavor diversity—from classic black to indulgent variants like caramel and mocha caters to a broad range of tastes. Pricing and packaging also influence consumer decisions, with factors such as bean quality and production costs impacting market dynamics. RTD coffee is set to become an even more prominent part of everyday consumption.
Innovation in Flavours to Propel Market Growth
The coffee market is expanding rapidly due to innovation in flavors, formats, and brewing techniques. Consumers today seek personalized, high-quality experiences, which has led to the rise of specialty coffees like cold brews, single-origin blends, and flavored lattes. The growing popularity of plant-based alternatives such as almond and oat milk has made coffee more appealing to health-conscious and vegan consumers. These evolving preferences, along with broader nutrition trends, are making coffee more inclusive and appealing to a wider audience. Millennials and Gen Z are key drivers of this growth, with a strong focus on convenience, sustainability, and digital integration. Their preferences for ethically sourced products, diverse flavor profiles, and tech-enabled services like app-based ordering are reshaping how coffee is consumed and marketed. As these generations continue to influence trends, the coffee industry is expected to keep innovating, offering more customized, sustainable, and accessible options for a broader consumer base.
Key Restraint for Coffee Market
Fluctuating prices of raw materials
The fluctuating costs of raw materials such as coffee beans poses a major challenge to the coffee beverage market. Coffee production is highly sensitive to weather conditions and supply-chain disruptions. Extreme weather conditions like unpredictable rainfall leading to floods or droughts result in a significant decline in coffee bean yields, which in-turn leads to supply chain disruptions and price volatility. For instance, Vietnam and Brazil have experienced a fear of global shortage of coffee due to soaring high prices as a result of extreme weather conditions. Such instances may hamper the growth of the coffee industry in the long run.
Rising costs of transportation and labor along with economic uncertainties further add to this challenge. A shortage of raw materials may potentially lead to the rise in price of finished goods, driving consumers away and impacting the overall growth of the market. Small-scale farmers in particular are affected by such fluctuations because of the lack of financial to deal with such restraints. The instability can further lead to poor quality of crops, decline in supply and exit of the farmers from the market entirely, impacting the overall growth of the market.
Key Trends for Coffee Market
Sustainability, Ethical Sourcing & Traceability
Consumers today place great ...
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The Coffee Market Report is Segmented by Product Type (Whole-Bean, Ground Coffee, and More), Distribution Channel (On-Trade and Off-Trade), Coffee Species (Arabica, Robusta and More), Origin (Single Origin/Specialty and Mixed), and Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa). The Market Forecasts are Provided in Terms of Value (USD) and Volume (Tons).
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Coffee Market Size 2025-2029
The coffee market size is forecast to increase by USD 37.7 billion, at a CAGR of 6.9% between 2024 and 2029.
Major Market Trends & Insights
Europe dominated the market and accounted for a 32% growth during the forecast period.
By the Product - Arabica coffee segment was valued at USD 48.40 billion in 2023
By the Application - Food and beverage segment accounted for the largest market revenue share in 2023
Market Size & Forecast
Market Opportunities: USD 63.76 billion
Market Future Opportunities: USD 37.70 billion
CAGR : 6.9%
Europe: Largest market in 2023
Market Summary
The market is a significant player in the beverage industry, with an estimated 2.25 billion cups consumed daily. This figure underscores the market's vast reach and influence, spanning various sectors, including foodservice, retail, and manufacturing. Notably, the specialty coffee segment has experienced substantial growth, driven by consumers' increasing preference for premium and unique coffee experiences. According to market research, the specialty coffee segment is projected to account for over 30% of the market share by 2025 . Furthermore, the rise of e-commerce platforms and the convenience they offer have significantly impacted coffee sales, enabling consumers to access a diverse range of coffee products from anywhere in the world.
However, the market faces challenges, such as climate change and supply chain disruptions, which may affect coffee production and prices. Despite these challenges, the market continues to evolve, presenting opportunities for innovation and growth.
What will be the Size of the Coffee Market during the forecast period?
Explore market size, adoption trends, and growth potential for coffee market Request Free Sample
The market exhibits a steady expansion, with current sales accounting for approximately 22% of the total beverage market share. Looking ahead, this sector is projected to experience a continuous growth trajectory, with future expansion anticipated at around 3% annually. Notably, the market's increasing focus on sustainability initiatives and technological advancements has led to significant improvements in areas such as water usage efficiency and soil health indicators.
Enhancements in enzyme activity assays and sensory science principles have further contributed to the industry's progress, driving yield optimization strategies and ensuring consistent product quality. Moreover, the integration of remote sensing applications and disease resistance breeding has enabled farmers to address challenges and maintain optimal crop health, while advances in flavor chemistry and chlorophyll fluorescence have heightened consumer interest in the authentic taste and quality of coffee beans. These developments underscore the dynamic and evolving nature of the market, with ongoing research and innovation shaping its future growth and success.
How is this Coffee Industry segmented?
The coffee industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Product
Arabica coffee
Robusta coffee
Liberica coffee
Excelsa coffee
Application
Food and beverage
Pharmaceuticals
Cosmetic
Roast Type
Light Roast
Medium Roast
Dark Roast
Distribution Channel
Foodservice
Retail
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
Middle East and Africa
Egypt
KSA
Oman
UAE
APAC
China
India
Japan
South America
Argentina
Brazil
Rest of World (ROW)
By Product Insights
The arabica coffee segment is estimated to witness significant growth during the forecast period.
In the dynamic and evolving the market, Arabica beans account for approximately 60% of global production. Renowned for their mild, sweet, and slightly acidic taste, Arabica beans offer notes of fruit and sugar, making them a favorite among consumers. Unlike Robusta beans, Arabica beans contain less caffeine, providing a smoother and more refined taste. The production of high-quality Arabica coffee occurs primarily in regions with optimal climates and altitudes, such as Brazil, Colombia, Ethiopia, Honduras, and Peru. These areas are known for their ability to produce Arabica beans that cater to the discerning palates of coffee drinkers worldwide.
Major players in the industry offer a range of Arabica coffee products to cater to diverse consumer preferences. The market's continuous growth is driven by factors such as sustainability certifications, defect bean identification, moisture content control, and bean drying processes. Sustainability certifications, such as Fair Trade and Rainforest Alliance, ar
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Key Attributes:
1.Area Code: A unique identifier for different geographical areas or regions where the coffee chain operates.
2.COGS (Cost of Goods Sold): The total cost incurred by the coffee chain in producing or purchasing the products it sells.
3.Difference between Actual and Target Profit: This attribute indicates how well the company performed in terms of profit compared to its target. It reflects the financial performance against predefined goals.
4.Date: The date of sales transactions, which allows for time-based analysis of sales trends and patterns.
5.Inventory Margin: The difference between the cost of maintaining inventory and the revenue generated from selling those inventory items.
6.Margin: The profit margin, which is the percentage of profit earned from sales. It's a critical financial metric.
7.Market Size: Information about the size of the market in each area, helping to understand the potential customer base and market dynamics.
8.Profit: financial gain achieved by the company after deducting the cost of goods sold (COGS) and other expenses from the revenue generated through sales.
9.Sales: represent the revenue generated from the coffee chain's products, reflecting its financial performance and customer demand.
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The model can be implemented to automate the process of checking coffee beans during sorting. By identifying DEFECT, LONGBERRY, PEABERRY, and PREMIUM beans, it ensures high standards in quality control. This enhances the efficiency of the sorting process, minimizes manual errors, and maintains consistent product quality.
Online coffee retailers can use this model to validate the type of coffee beans being sold on their platforms. This ensures that customers receive exactly what they are expecting when purchasing coffee beans. It can also assist sellers in categorizing their inventory accurately, improving customer satisfaction and trust.
Researchers studying coffee plants can leverage this model to visually classify different types of coffee beans. This aids in their research by speeding up the categorization process and providing more reliable data for studies related to coffee genetics, cultivation, and quality improvement.
The model can be integrated into interactive educational platforms designed for coffee enthusiasts, baristas, and industry professionals. It helps learners distinguish between different coffee classes, enhancing their knowledge and expertise seamlessly.
By using this model within machines designed for automated coffee grading, producers and processors can improve the efficiency and accuracy of the grading process. This automation reduces the reliance on manual inspections while maintaining or exceeding current grading standards.
The dataset, USK-Coffee, is organized as follows:
USK-Coffee
|-- test 1600
| |-- defect (400 Images)
| |-- longberry (400 Images)
| |-- peaberry (400 Images)
| |-- premium (400 Images)
|-- train 4800
| |-- defect (1200 Images)
| |-- longberry (1200 Images)
| |-- peaberry (1200 Images)
| |-- premium (1200 Images)
|-- val 1600
| |-- defect (400 Images)
| |-- longberry (400 Images)
| |-- peaberry (400 Images)
| |-- premium (400 Images)
The dataset annotations were contributed by the following team members: - Imam Sayuti, S.Tr.Kom., M.T. - Fatimah, S.T - Dr. Ir. Kahlil, S.T., M.Eng (Supervisor)
The dataset is provided by the Computer Vision Research Group (https://comvis.unsyiah.ac.id/usk-coffee/) and is based on the research paper:
Febriana, A., Muchtar, K., Dawood, R., Lin, CY. (2022, June). "USK-COFFEE Dataset: A Multi-class Green Arabica Coffee Bean Dataset for Deep Learning." In 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE.
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The US Coffee Market Report is Segmented by Product Type (Whole Bean, Ground Coffee, Instant Coffee, and Coffee Pods and Capsules), Type (Conventional and Specialty), Packaging Type (Flexible, Rigid, and Single-Serve), Distribution Channel (On-Trade and Off-Trade Channel) and Geography (California, Texas, Florida, and More). The Market Forecasts are Provided in Terms of Value (USD).
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The Report Covers North America Specialty Coffee Market Growth and it is segmented by Product Type (Whole-Bean, Ground Coffee, Instant Coffee, Coffee Pods, and Capsules); by Distribution Channel (On-Trade and Off-Trade), and by Geography (United States, Canada, Mexico, and the Rest of North America). The Market Size and Values Are Provided in Terms of (USD Million) During the Forecasted Years for the Above Segments.
Comparing the 25 selected regions regarding the indicator 'Revenue, Combined' in the 'Coffee' segment of the hot drinks market, the United States is leading the ranking (85 billion U.S. dollars) and is followed by Japan with 35.4 billion U.S. dollars. At the other end of the spectrum is Mexico with 2.6 billion U.S. dollars, indicating a difference of 82.4 billion U.S. dollars to the United States. Find other insights concerning similar markets and segments, such as a ranking of subsegments in Finland regarding share in the segment Coffee and a ranking of subsegments in Europe regarding revenue in the Hot Drinks market as a whole.The Statista Market Insights cover a broad range of additional markets.
In 2025, ** percent of survey respondents in the United States stated that they drank coffee within the last day. About ** percent of U.S. respondents had drunk espresso-based beverages instead. Coffee brands in the U.S. In 2020, Folgers produced over ************* U.S. dollars’ worth of sales in the United States, making it the leading brand of regular ground coffee by a significant margin. Total sales numbers generated by private coffee labels amounted to some *** million U.S. dollars. Folgers Coffee was first introduced in 1850, and by 2020, had the largest ground coffee market share in the United States. The coffee giant was followed by other well-known brands, such as Maxwell House, Starbucks, and Dunkin’ Donuts. Arabica vs. Robusta In the commercial coffee industry, there are two main types of coffee species: Arabica and Robusta. Coffee beans of the Arabica variety are slightly larger, produce a smooth and aromatic taste, and are the most commonly produced coffee bean variety: in 2023/24, just over ** million bags (60 kilograms each) of Arabica coffee were produced worldwide. Robusta beans are generally smaller and rounder, cheaper to cultivate, and taste quite bitter. Just over ** million bags of this coffee type were produced during the same marketing year.
JMuBEN dataset will help researchers to be able to test the accuracy of their deep learning models without spending much time going to the field for data collection. The Arabica dataset (JMuBEN) contains images that are useful in training and validation during the utilization of deep learning algorithms used in plant disease recognition and classification. The dataset contains leaf images which were collected from Arabica coffee type and it shows five sets of images. In total, fifty eight thousand five hundred and fifty five (58,555) images of Arabica coffee leaves are included in this dataset. Each image is 128x128.
For further information please refer to https://data.mendeley.com/datasets/tgv3zb82nd/1 and https://data.mendeley.com/datasets/t2r6rszp5c/1