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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Description: Elevate your data-driven coffee journey with the Coffee Bean Sales Dataset, a treasure trove of information that delves into the world of coffee orders, customer profiles, and an extensive range of coffee products. Whether you're a coffee enthusiast, a data analyst, or a business owner, this dataset provides valuable insights into the coffee industry.
Contents:
Orders Worksheet:
Order ID: A unique identifier for each coffee order. Order Date: The date when the order was placed. Customer ID: An identifier linking the order to a specific customer. Product ID: A unique identifier for each coffee product. Quantity: The quantity of the coffee product ordered.
Customers Worksheet:
Customer ID: A unique identifier for each customer. Customer Name: The name of the customer. Email Address: Contact information for customers. Phone Number: Another contact detail for customers. And more: Explore a wide range of customer attributes for segmentation and analysis.
Products Worksheet:
Product ID: A unique identifier for each coffee product. Coffee Type: The type or blend of coffee, such as Arabica or Robusta. Roast Type: The roast level, including light, medium, or dark roast. Size: Information about the product size. Unit Price: The price of a single unit of the coffee product. Price Per 100g: The price per 100 grams for detailed price comparisons. Profit: Insights into the profitability of each coffee product.
Use Cases:
Market Analysis: Uncover trends in coffee consumption by analysing order patterns over time. Customer Segmentation: Create customer segments based on demographics and preferences. Product Strategy: Identify the most profitable coffee products and optimize pricing. Inventory Management: Ensure that the right quantities of each coffee product are stocked. Marketing Campaigns: Tailor marketing campaigns to specific customer segments.
Get your hands on the Coffee Bean Sales Dataset and start brewing insights today!
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License information was derived automatically
Coffee rose to 343.55 USd/Lbs on August 15, 2025, up 5.22% from the previous day. Over the past month, Coffee's price has risen 11.38%, and is up 39.96% 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 August of 2025.
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License information was derived automatically
## 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
During the 2024/25 period, global coffee imports amounted to a total of *** million 60-kilogram bags. In the same period, around *** million bags were exported worldwide. Coffee export countries In February 2024, Brazil exported the highest volume of coffee worldwide. The country exported roughly *** million 60-kilo bags that month. Vietnam and Colombia stood in second and third place, exporting approximately *** and *** million sacks, respectively. In terms of global coffee production, Brazil also led the list, producing ** million 60-kilo bags worth of coffee in 2024/25. Brazil produced over twice as much as Vietnam that year. Brazilian green coffee Brazil, which is known as one of the top coffee exporting countries worldwide, produced the highest volume of green coffee in Latin America by far in 2024/25. The South American country produced almost ** million 60-kilogram sacks of green coffee that year. Colombia ranked second, producing just over ** million green coffee bags.
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License information was derived automatically
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 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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Graph and download economic data for Consumer Price Index for All Urban Consumers: Coffee in U.S. City Average (CUSR0000SEFP01) from Jan 2003 to Jul 2025 about coffee, urban, consumer, CPI, price index, indexes, price, and USA.
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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. |
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Grade Coffee is a dataset for object detection tasks - it contains Coffee annotations for 557 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).
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.
The market is experiencing significant growth, fueled by the increasing popularity of coffee and the trend towards specialty coffee and premiumization. Consumers' preference for high-quality, unique coffee experiences is driving this trend, leading companies to invest in innovative products and production methods. Climate change poses a significant threat to coffee production, with extreme weather conditions and supply chain disruptions becoming increasingly common. Extreme weather conditions and supply chain disruptions pose significant risks to coffee farmers and producers, potentially leading to decreased yields and increased costs.
Companies must adapt to these challenges by implementing sustainable farming practices, investing in technology to mitigate the effects of climate change, and diversifying their supply chains to reduce reliance on specific regions. To capitalize on the market's growth and navigate these challenges, companies must stay informed of consumer preferences and trends, invest in research and development, and build resilient supply chains.
What will be the Size of the Coffee Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic shifts in consumer preferences, technological advancements, and sustainability initiatives shaping the landscape. Coffee tastings and innovation are at the forefront of this evolution, as roasters and retailers explore new flavor profiles and brewing methods. Antioxidants found in coffee beans have gained renewed attention for their potential health benefits, driving demand for organic and traceable coffee beans. Brewing equipment, from French presses to espresso machines, and coffee filters, continue to advance, offering consumers greater control over their coffee experience. Coffee roasting techniques, such as roast profiles and coffee training, have become essential skills for baristas and home enthusiasts alike.
Coffee byproducts, including coffee waste and brewed coffee grounds, are being repurposed for various applications, from fertilizer to biofuels, further highlighting the industry's commitment to sustainability. Coffee certifications, such as fair trade and organic, continue to influence purchasing decisions, as consumers increasingly demand ethical and environmentally responsible sourcing. Cold brew and instant coffee have emerged as popular alternatives to traditional brewing methods, catering to diverse consumer preferences. Coffee aroma and flavor remain key differentiators, with specialty coffee shops and cafes offering unique blends and roasts to attract discerning customers. Caffeine content and coffee brewing techniques, such as drip coffee and espresso, continue to be refined, ensuring a consistent and high-quality experience for consumers.
The ongoing exploration of coffee's rich flavors and the pursuit of sustainable and ethical practices underscore the continuous dynamism of this vibrant market.
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 market, Arabica beans lead with over 60% of global production, cherished for their mild, sweet, and slightly acidic flavor profile. Arabica coffee's appeal lies in its fruit and sugar notes, contrasting Robusta's stronger, harsher taste. Arabica beans, which grow in favorable climates and altitudes such as Brazil, Colombia, Ethiopia, Honduras, and Peru, deliver high-quality beans to discerning consumers worldwide. Prominent companies cater to diverse consumer preferences with Arabica coffee offerings. Coffee culture thrives through various channels, including coffee festivals, tastings, and innovation. Green coffee beans undergo roasting, transforming into various roast profiles.
Roasted beans are then pac
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License information was derived automatically
Dataset Card for Beans
Dataset Summary
Coffee Beans Grading
Supported Tasks and Leaderboards
image-classification: Based on a coffee bean grading, the goal of this task is to grade single beans for clusterization.
Languages
Indonesia
Dataset Structure
Data Instances
A sample from the training set is provided below: { 'image_file_path':… See the full description on the dataset page: https://huggingface.co/datasets/rasyidf/coffee-beans.
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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 ...
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.
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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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License information was derived automatically
Here are a few use cases for this project:
Coffee Quality Control: This model can be used in the coffee industry for quality control, by analyzing images of coffee beans and determining their roast types, hence ensuring consistency in coffee products.
Augmented Reality Shopping Assistant: It could be used in an AR application aimed at helping customers differentiate between various types of coffee at grocery stores or cafes, enhancing the shopping experience.
Agricultural Technology: The model can be used in ag-tech applications, helping farmers to identify and classify the state of coffee beans during the harvesting process, thereby increasing productivity and quality.
Coffee Machine Integration: The model could be integrated into high-end automatic coffee machines to adjust brewing parameters based on the type of coffee bean detected, thus enhancing the quality of the brewed coffee.
Coffee Education Applications: The model can be used in educational apps or websites about coffee, providing visual recognition and explanations about different types of coffee roasts and beans to users who are interested in learning more about coffee.
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The Raw Coffee Beans Market report segments the industry into Geography (North America, Europe, Asia-Pacific, South America, Middle East and Africa). The report includes Production Analysis by Volume, Consumption Analysis by Value and Volume, Import Analysis by Value and Volume, Export Analysis by Value and Volume, and Price Trend Analysis. Get five years of historical data alongside five-year market forecasts.
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Coffee Market size is expected to reach USD 201.41 Bn by 2032, from USD 145.84 Bn in 2025, exhibiting a CAGR of 6.2% during the forecast period 2025-2032
Brazil was the leading coffee producer in the world for the crop year of 2024/2025. In that year, Brazil produced **** million 60 kilogram bags of coffee. Vietnam ranked second with **** million bags.Coffee productionCoffee is one of the most widely consumed hot beverages all over the world. Brazil, the top coffee-producing country, accounted for ** percent of the global coffee supply. Vietnam, was the second largest coffee producer, accounting for roughly ** percent of the world coffee production. The coffee trade is one of Brazil’s most prolific industries. In 2023, about *** million hectares of agricultural land was allotted for harvesting green coffee. Over ***** million sacks of Brazilian coffee were exported in February 2024 alone. Predictably, the nation was also the biggest coffee consumer in the South American continent during that 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