Auto Label 2

## Overview

Auto Label 2 is a dataset for object detection tasks - it contains Sedan_Car Tkmg annotations for 1,549 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).

The Automatic Labeling Machine Market Report is Segmented by Technology (Pressure-sensitive/Self-adhesive Labelers, Shrink Sleeve Labelers, Glue-Based Labelers, Sleeve Labelers, and Other Technologies), End User (Food, Beverages, Pharmaceuticals, Personal Care, Chemicals, and Other End Users), and Geography (North America (United States and Canada), Europe (United Kingdom, Germany, France, and Italy), Asia (China, India, Japan, and Australia and New Zealand), Latin America (Mexico and Brazil), and Middle East and Africa (United Arab Emirates, Saudi Arabia, and South Africa)). The Report Offers Market Sizes and Forecasts in Value (USD) for all the Above Segments.

According to Cognitive Market Research, the global automatic labeling machine market size was USD 2648.9 billion in 2022 and will grow at a compound annual growth rate (CAGR) of 4.00% from 2023 to 2030. Use of High-Quality Labeling Adhesive for Packaging Solutions Has an Impact on Market Growth

For the first time, pressure-sensitive adhesives were utilized for simple and hygienic labeling in the early 1920s. Adhesives have maintained a solid position with labelers since then. They are used to save packaging lining space while increasing end product drying speed. Depending on the industry use, labeling adhesives such as biopolymers, biodegradable adhesives, and so on are used. High-quality adhesives minimize solvents, boost production speed, reduce energy consumption, and ensure consistency in the machining process, all of which contribute to the long-term viability of packaging solutions.

For instance, Herma released the Herma 42X in May 2019, a UV, acrylic-based, removable adhesive that is resistant to detergent, water, and oil.

(Source:www.labelsandlabeling.com/news/new-products/new-adhesive-herma-easily-removable)

As a result, high-quality labeling adhesives are likely to drive market expansion.

Market Dynamics of Automatic Labeling Machine

Maintenance Costs for Automated Labellers may Limit Market Growth

Automatic labeling machines are more expensive than regular labeling machines. Well-known manufacturers are developing these machines by combining labeling machines with coding, painting, or palletizing machines, which raises production costs. Furthermore, a sudden malfunction of the machine during company operation has major consequences, such as damage to container material, label wrinkling, label flagging, and so on. Small and medium-sized packaging companies find it difficult to include pricey machines, reducing demand for automatic labelling machines. Given all of these reasons, maintenance costs are expected to play a significant influence in constraining the market's growth.

Imapct of COVID-19 on the Automatic Labeling Machines Market

Global supply networks have been disrupted, production operations have been decreased, and consumer behaviour has changed as a result of the pandemic. These elements have had an impact on the demand for and manufacturing of automatic labeling machines. Many industries faced temporary closures and limitations during the early stages of the epidemic, resulting in a drop in demand for labeling equipment. This was especially noticeable in slowing areas such as retail, hotels, and non-essential manufacturing. However, as the pandemic continued, consumer behaviour shifted toward e-commerce and internet buying. This raised the demand for labeling machines in firms that package and ship goods for online sales. What is automatic labeling machine?

Automatic labelling machines are used to print or apply labels to a variety of forms, such as cylinders, ovals, squares, and flats. Manufacturers create labels that refer to written or quantitative statements about product information, inventory pricing, and so on. Green branding is becoming increasingly popular. Green marking prevents against manipulation, which ultimately improves product security. Furthermore, technological advancement and changing customer perception of labelled items are viewed as driving factors for the growth of the automatic labelling machines market.

For instance, ID Technology, a ProMach product brand, developed the M2 labelling head in September 2019, which is a modular wipe on high-speed label applicator with faster performance and increased possibilities.

(Source:www.idtechnology.com/news/id-technologys-new-label-applicator-brings-enhanced-performance-in-a-small-package/)

Context: Exception handling (EH) bugs stem from incorrect usage of exception handling mechanisms (EHMs) and often incur severe consequences (e.g., system downtime, data loss, and security risk). Tracking EH bugs is particularly relevant for contemporary systems (e.g., cloud- and AI-based systems), in which the software's sophisticated logic is an additional threat to the correct use of the EHM. On top of that, bug reporters seldom can tag EH bugs --- since it may require an encompassing knowledge of the software's EH strategy. Surprisingly, to the best of our knowledge, there is no automated procedure to identify EH bugs from report descriptions.Objective: First, we aim to evaluate the extent to which Natural Language Processing (NLP) and Machine Learning (ML) can be used to reliably label EH bugs using the text fields from bug reports (e.g., summary, description, and comments). Second, we aim to provide a reliably labeled dataset that the community can use in future endeavors. Overall, we expect our work to raise the community's awareness regarding the importance of EH bugs.Method: We manually analyzed 4,516 bug reports from the four main components of Apache’s Hadoop project, out of which we labeled ~20% (943) as EH bugs. We also labeled 2,584 non-EH bugs analyzing their bug-fixing code and creating a dataset composed of 7,100 bug reports. Then, we used word embedding techniques (Bag-of-Words and TF-IDF) to summarize the textual fields of bug reports. Subsequently, we used these embeddings to fit five classes of ML methods and evaluate them on unseen data. We also evaluated a pre-trained transformer-based model using the complete textual fields. We have also evaluated whether considering only EH keywords is enough to achieve high predictive performance.Results: Our results show that using a pre-trained DistilBERT with a linear layer trained with our proposed dataset can reasonably label EH bugs, achieving ROC-AUC scores of up to 0.88. The combination of NLP and ML traditional techniques achieved ROC-AUC scores of up to 0.74 and recall up to 0.56. As a sanity check, we also evaluate methods using embeddings extracted solely from keywords. Considering ROC-AUC as the primary concern, for the majority of ML methods tested, the analysis suggests that keywords alone are not sufficient to characterize reports of EH bugs, although this can change based on other metrics (such as recall and precision) or ML methods (e.g., Random Forest).Conclusions: To the best of our knowledge, this is the first study addressing the problem of automatic labeling of EH bugs. Based on our results, we can conclude that the use of ML techniques, specially transformer-base models, sounds promising to automate the task of labeling EH bugs. Overall, we hope (i) that our work will contribute towards raising awareness around EH bugs; and (ii) that our (publicly available) dataset will serve as a benchmarking dataset, paving the way for follow-up works. Additionally, our findings can be used to build tools that help maintainers flesh out EH bugs during the triage process.

Automatic Labeling Machine Market size was valued at USD 2.53 Billion in 2024 and is projected to reach USD 3.23 Billion by 2031, growing at a CAGR of 3.40% from 2024 to 2031.

Automatic Labeling Machine Market Drivers

Increasing Demand for Automation: With a growing emphasis on efficiency and productivity, industries across sectors such as food and beverage, pharmaceuticals, cosmetics, and manufacturing are increasingly adopting automation solutions. Automatic labeling machines streamline the packaging process, reduce labor costs, and minimize errors, driving their demand.
Stringent Regulations and Standards: Regulatory requirements regarding product labeling, particularly in industries like pharmaceuticals and food and beverage, are becoming more stringent globally. Automatic labeling machines offer precise and compliant labeling, helping companies meet regulatory standards and ensure product safety and traceability.
Rising Labor Costs: Labor costs continue to rise in many regions, compelling companies to seek automated solutions to reduce dependence on manual labor. Automatic labeling machines not only improve operational efficiency but also eliminate the need for manual labeling, reducing labor costs over time.
Advancements in Technology: Technological advancements such as improved labeling accuracy, faster labeling speeds, and integration with other manufacturing systems are driving the adoption of automatic labeling machines. Innovations in materials, sensors, and software contribute to enhanced performance and reliability of these machines.
Growing Product Customization: Consumer preferences are increasingly favoring product customization and personalization. Automatic labeling machines equipped with features like quick changeovers and flexible labeling options enable manufacturers to adapt to changing market demands and offer customized products efficiently.

The global Print and Apply Label Automation market, valued at $673 million in 2025, is projected to experience robust growth, driven by increasing automation needs across diverse industries. A Compound Annual Growth Rate (CAGR) of 5.8% from 2025 to 2033 indicates a significant market expansion, fueled by several key factors. The burgeoning food and beverage sector, demanding high-speed and accurate labeling for efficient product handling and traceability, is a major contributor to this growth. Similarly, the pharmaceutical and healthcare industries' stringent regulatory requirements for accurate and tamper-evident labeling are driving adoption of automated solutions. The construction and chemicals sectors also contribute significantly, benefiting from enhanced efficiency and reduced labor costs associated with automated labeling systems. Further growth is anticipated from the electronics industry, where precise and consistent labeling is crucial for product identification and quality control. The market segmentation into automatic and semi-automatic labeling machines reflects varying needs based on production volume and budget considerations. Automatic labeling machines dominate, offering superior speed and precision for high-volume applications, while semi-automatic machines cater to smaller-scale operations and specific labeling requirements. Technological advancements, such as improved label dispensing mechanisms and integration with advanced data management systems, are further enhancing the capabilities and appeal of these systems. The competitive landscape is characterized by both established players like Markem-Imaje, Videojet, and Domino, and regional specialists. These companies are continuously innovating to provide customized solutions that address specific industry needs. Expansion into emerging markets, particularly in Asia-Pacific, driven by rising industrialization and manufacturing activities, presents significant opportunities. However, high initial investment costs and the need for skilled labor for installation and maintenance might pose some challenges. Nonetheless, the long-term benefits of improved efficiency, reduced errors, and enhanced product traceability outweigh these considerations, making Print and Apply Label Automation a compelling investment for companies across numerous sectors. The continued focus on streamlining supply chains and improving operational efficiency is expected to solidify the long-term growth trajectory of this market.

Explore the Automatic Labeling Machine Market trends! Covers key players, growth rate 4.8% CAGR, market size $3.42 Billion, and forecasts to 2033. Get insights now!

Automotive Label Market is Segmented by Identification Technology (Barcode, QR Code, and RFID Tags), by Type (Branding, Track & Trace, Warning & Safety, and Asset Labels), by Application (Interior Applications, Exterior Applications, and Engine Applications), and by Geography (North America [United States, Canada], Europe [United Kingdom, Germany, France, Spain], Asia-Pacific [China, India, Japan], Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

Auto Labelling

## Overview

Auto Labelling is a dataset for object detection tasks - it contains Pixel Red Blue annotations for 4,259 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).

The global automatic label dispenser market is experiencing robust growth, driven by increasing automation across various industries and the rising demand for efficient and precise labeling solutions. The market, currently valued at approximately $1.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors, including the increasing adoption of automation technologies in manufacturing, logistics, and packaging, the rising demand for high-speed and high-volume labeling in industries such as food and pharmaceuticals, and the growing need for improved product traceability and labeling accuracy. The market is segmented by dispenser type (semi-automatic and fully automatic) and application (food, cosmetic, pharmaceutical, chemical, consumer goods, and others), with the fully automatic segment expected to dominate due to its higher efficiency and productivity. Geographically, North America and Europe currently hold significant market shares, but the Asia-Pacific region is anticipated to witness substantial growth driven by increasing industrialization and expanding manufacturing sectors in countries like China and India. Significant restraints to market growth include the high initial investment costs associated with automatic label dispensers, particularly for fully automated systems, and the need for specialized technical expertise for installation and maintenance. However, ongoing technological advancements leading to more cost-effective and user-friendly solutions are expected to mitigate these challenges. The growing preference for customized labeling solutions tailored to specific industry requirements is also shaping the market landscape, with manufacturers focusing on developing versatile and adaptable dispensers. Furthermore, increasing focus on sustainability and reducing waste in the packaging industry is pushing the adoption of eco-friendly labeling materials and dispensers. This dynamic market is expected to continue its upward trajectory, driven by a confluence of technological advancements, regulatory changes, and evolving industry practices. This comprehensive report provides a detailed analysis of the global automatic label dispensers market, projected to reach a value exceeding $2 billion by 2030. It delves into market segmentation, key trends, growth drivers, challenges, and competitive landscapes, offering invaluable insights for stakeholders across the supply chain. Keywords: automatic label dispensers, semi-automatic label dispensers, fully automatic label dispensers, label dispensing machine, industrial labeling, packaging automation, food labeling, pharmaceutical labeling, cosmetic labeling.

The global print and apply label automation market, valued at $673 million in 2025, is projected to experience robust growth, driven by the increasing demand for efficient and accurate labeling across diverse industries. A compound annual growth rate (CAGR) of 5.8% from 2025 to 2033 signifies a considerable expansion, fueled by several key factors. Automation is becoming increasingly critical for businesses seeking to improve production speed, reduce labor costs, and enhance product traceability. The food and beverage sector, a major market segment, is adopting print and apply systems to meet stringent regulatory compliance and consumer demand for clear, accurate product information. Similarly, the pharmaceutical and healthcare sectors are leveraging these technologies for precise drug labeling and anti-counterfeiting measures. The growth is also being propelled by technological advancements, such as the integration of advanced vision systems and improved software for label design and management. Furthermore, the rising adoption of Industry 4.0 principles and the increasing use of connected devices within manufacturing facilities is further accelerating the adoption of automated labeling solutions. However, market growth is not without its challenges. High initial investment costs for automated labeling equipment can be a barrier to entry for smaller businesses. Furthermore, the need for specialized technical expertise to operate and maintain these systems poses a potential restraint. Despite these challenges, the long-term benefits of improved efficiency, reduced errors, and enhanced product quality are expected to outweigh the initial investment costs, leading to sustained market expansion. The market is segmented by application (Food and Beverage, Pharmaceutical and Healthcare, Construction and Chemicals, Electronics, Other) and type (Automatic Labeling Machines, Semi-Automatic Labeling Machines), offering opportunities for specialized solutions tailored to specific industry needs. This segmentation allows vendors to cater to the unique requirements of different sectors, further driving the market's growth and evolution.

Auto Labeler (Print & Apply System) market size was worth around USD 255 million in 2022 and is predicted to grow to around USD 301 million by 2030

TagX data annotation services are a set of tools and processes used to accurately label and classify large amounts of data for use in machine learning and artificial intelligence applications. The services are designed to be highly accurate, efficient, and customizable, allowing for a wide range of data types and use cases.

The process typically begins with a team of trained annotators reviewing and categorizing the data, using a variety of annotation tools and techniques, such as text classification, image annotation, and video annotation. The annotators may also use natural language processing and other advanced techniques to extract relevant information and context from the data.

Once the data has been annotated, it is then validated and checked for accuracy by a team of quality assurance specialists. Any errors or inconsistencies are corrected, and the data is then prepared for use in machine learning and AI models.

TagX annotation services can be applied to a wide range of data types, including text, images, videos, and audio. The services can be customized to meet the specific needs of each client, including the type of data, the level of annotation required, and the desired level of accuracy.

TagX data annotation services provide a powerful and efficient way to prepare large amounts of data for use in machine learning and AI applications, allowing organizations to extract valuable insights and improve their decision-making processes.

Automotive Labels Market size was valued at USD 7.20 Billion in 2024 and is projected to reach USD 10.14 Billion by 2031, growing at a CAGR of 4.67% during the forecast period 2024-2031.

Global Automotive Labels Market Drivers

Government Regulations and Standards: Stringent government regulations and standards related to vehicle safety, emissions, fuel efficiency, and traceability drive the demand for automotive labels to convey important information, warnings, and regulatory compliance details on vehicles and automotive parts.

Vehicle Identification and Branding: Automotive labels play a crucial role in vehicle identification, branding, and marketing by displaying vehicle model names, logos, branding elements, and decorative graphics on various exterior and interior surfaces of vehicles.

Product Traceability and Tracking: Automotive labels with barcode, QR code, RFID, and other tracking technologies enable product traceability, inventory management, and supply chain logistics in the automotive industry, facilitating efficient tracking of vehicle components, parts, and accessories.

Safety and Warning Labels: Safety labels, warning labels, and instructional labels provide important safety information, usage instructions, and hazard warnings to vehicle occupants, mechanics, and service technicians, enhancing safety awareness and reducing the risk of accidents or injuries.

Eco-friendly and Sustainable Labeling Solutions: Growing environmental awareness and sustainability initiatives drive demand for eco-friendly, recyclable, and biodegradable labeling materials and solutions in the automotive industry to reduce environmental impact and support green manufacturing practices.

Customization and Personalization: Automotive OEMs and aftermarket suppliers demand customizable and personalized labeling solutions to meet specific branding requirements, regulatory standards, and aesthetic preferences, driving innovation in label design, printing, and application technologies.

Product Differentiation and Brand Loyalty: Automotive labels serve as a means of product differentiation, brand recognition, and customer engagement, influencing consumer perceptions, brand loyalty, and purchasing decisions in the competitive automotive market.

Advanced Driver Assistance Systems (ADAS): The integration of advanced driver assistance systems (ADAS) and smart vehicle technologies drives demand for automotive labels with sensor calibration information, warning symbols, and safety instructions to support the safe operation and maintenance of ADAS-equipped vehicles.

Globalization and Market Expansion: Globalization of automotive supply chains, market expansion, and international trade drive demand for multilingual labeling solutions, regulatory compliance labels, and standardized labeling formats to meet diverse market requirements and export regulations.

Aftermarket Labeling and Branding: The aftermarket segment of the automotive industry demands labeling solutions for vehicle customization, branding, and product identification, including decals, stickers, emblems, and functional labels for replacement parts and accessories.

Dataset

This dataset was created by blue7red

Released under CC0: Public Domain

Contents

According to Cognitive Market Research, the global automotive labels market size is USD 8.2 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 5.0% from 2024 to 2031. Market Dynamics of Automotive Labels Market

Key Drivers for Automotive Labels Market

Growing Interest in Smart Labeling - One of the main reasons the automotive labels market is growing is the increasing use of smart labeling. The growing need for smart labels is one factor propelling the continuous expansion of the global automotive labels market. These smart labels use cutting-edge technology like barcodes and radio-frequency identification (RFID) to improve functioning and offer useful information to the automobile sector. While conventional labels include fundamental details, intelligent labels go above and beyond. RFID tags integrated into labels can communicate data for purposes such as Part Tracking wirelessly. These tags may track components from production to assembly along the supply chain, guaranteeing authenticity and optimizing logistics.
Creation of new technologies for labeling, such as RFID labels, to drive the automotive labels market's expansion in the years ahead.

Key Restraints for Automotive Labels Market

Direct printing has become popular on package surfaces. Poses a serious threat to the automotive labels industry.
The market also faces significant difficulties related to variations in the cost of raw materials

Introduction of the Automotive Labels Market

Labeling is the process of giving a product a brief name in order to distinguish it from other products or brands. Automobile labels are used in the automobile sector to differentiate their brand from competitors and generate a market image. They are also used to differentiate between distinct parts for informational and safety reasons. The market is expected to be driven by the automotive industry's growing need for automobiles as well as the necessity for labels such as radio-frequency identification (RFID) and bar codes for the identification, information, and safety of automotive parts. The automobile labels industry is seeing substantial growth as a result of the expansion of the packaging and labeling markets across all end-user sectors. Automotive labels usually include badging and labels that show component information, a company's name and logo, price, technical details, and other pertinent information. Examples of these labels are barcode, estimate, and vehicle identifying number (VIN) labels. The growing need for eco-friendly label production techniques and the growing need for smart labels with barcodes and RFID are two more aspects that are expected to drive market expansion.

Autolabel

## Overview

Autolabel is a dataset for object detection tasks - it contains Supermarket Products annotations for 555 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).

The project contains the implementation of the method described in: Wang et al., "Automatic labeling of vascular structures with topological constraints via HMM", MICCAI 2017. We propose a novel graph labeling approach to anatomically label vascular structures of interest. Our algorithm can handle different topologies, like circle, chain and tree. By using coordinate independent geometrical features, it does not require prior global alignment.

The open-source data labeling tool market is experiencing robust growth, driven by the increasing demand for high-quality training data in machine learning and artificial intelligence applications. The market's expansion is fueled by several factors: the rising adoption of AI across various sectors (including IT, automotive, healthcare, and finance), the need for cost-effective data annotation solutions, and the inherent flexibility and customization offered by open-source tools. While cloud-based solutions currently dominate the market due to scalability and accessibility, on-premise deployments remain significant, particularly for organizations with stringent data security requirements. The market's growth is further propelled by advancements in automation and semi-supervised learning techniques within data labeling, leading to increased efficiency and reduced annotation costs. Geographic distribution shows a strong concentration in North America and Europe, reflecting the higher adoption of AI technologies in these regions; however, Asia-Pacific is emerging as a rapidly growing market due to increasing investment in AI and the availability of a large workforce for data annotation. Despite the promising outlook, certain challenges restrain market growth. The complexity of implementing and maintaining open-source tools, along with the need for specialized technical expertise, can pose barriers to entry for smaller organizations. Furthermore, the quality control and data governance aspects of open-source annotation require careful consideration. The potential for data bias and the need for robust validation processes necessitate a strategic approach to ensure data accuracy and reliability. Competition is intensifying with both established and emerging players vying for market share, forcing companies to focus on differentiation through innovation and specialized functionalities within their tools. The market is anticipated to maintain a healthy growth trajectory in the coming years, with increasing adoption across diverse sectors and geographical regions. The continued advancements in automation and the growing emphasis on data quality will be key drivers of future market expansion.

The global pressure sensitive labeling machine market is experiencing robust growth, driven by the increasing demand for automated packaging solutions across diverse industries. The market, currently valued at approximately $2.5 billion in 2025 (estimated based on industry averages and provided data points), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of automated labeling systems to enhance production efficiency and reduce labor costs. The food and beverage sector remains the largest application segment, followed by pharmaceuticals and consumer products. Trends such as the growing preference for sustainable packaging materials and the increasing focus on product traceability are further propelling market expansion. The rising adoption of smart packaging technologies and Industry 4.0 initiatives are also contributing factors. Automatic pressure labeling machines dominate the market due to their high speed and precision. However, certain restraints limit market growth. High initial investment costs associated with purchasing and implementing advanced labeling systems can deter small and medium-sized enterprises (SMEs). Furthermore, the need for skilled technicians to operate and maintain these machines presents a challenge in certain regions. Despite these challenges, the long-term outlook for the pressure sensitive labeling machine market remains positive. Technological advancements, such as the integration of artificial intelligence (AI) and machine learning (ML) for improved label accuracy and efficiency, are expected to drive further innovation and adoption in the coming years. Expansion into emerging markets and increased demand for customized labeling solutions will also contribute to sustained market growth.