Male Hair Loss Dataset - 2 400+ images

Dataset comprises medical images of scalps from five angles, labeled with seven classifications based on the Norwood-Hamilton scale, aiding in diagnosing hair losses and scalp conditions. Utilizing deep learning techniques, machine learning algorithms can analyze hair density, follicles, and hair growth patterns to improve accurate diagnosis of alopecia areata and other hair disorders. — Get the data

  Dataset characteristics:… See the full description on the dataset page: https://huggingface.co/datasets/ud-medical/male-hair-loss-dataset.

Hairloss Segmentation

## Overview

Hairloss Segmentation is a dataset for instance segmentation tasks - it contains Hair Head Bald annotations for 461 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 [MIT license](https://creativecommons.org/licenses/MIT).

Bald Women Dataset

Dataset comprises 1,080 images of 540 women with alopecia, featuring top-view scalp images paired with segmentation masks. It is designed for machine learning and deep learning applications, focusing on hair follicles, hair density , and scalp health analysis. By leveraging this dataset, researchers and developers can enhance early detection, accurate diagnosis, and personalizing treatment strategies for hair thinning, hair falling, and scalp conditions. - Get… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/women-hair-loss-dataset.

Bald Men Dataset

Dataset comprises 3,100 images from 775 individuals, featuring male alopecia cases captured from two angles (front + top views) with corresponding segmentation masks. Designed for machine learning and deep learning models, this collection supports research in hair follicles analysis, hair density measurement, and scalp health evaluation. By leveraging this dataset, researchers can improve learning algorithms for detecting hair disorders, evaluating hair restoration… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/men-hair-loss-dataset.

This dataset provides comprehensive information on various factors contributing to hair fall. The dataset contains 717 responses from a survey designed to capture details about individual hair care practices, lifestyle choices, and genetic predispositions.

Features:

1. Age
2. Gender
3. Usage of hair products
4. Water quality
5. Stress levels
6. Late-night activities
7. Presence of anemia
8. Family history of hair fall
9. Personal health conditions

Potential Uses: Researchers, data scientists, and healthcare professionals can use this dataset to analyze the factors influencing hair fall. It is particularly useful for:

-- Identifying patterns and correlations among various factors contributing to hair fall. -- Developing predictive models to forecast the likelihood of hair fall based on individual attributes. -- Designing personalized hair care and treatment plans. -- Conducting exploratory data analysis to uncover new insights about hair health.

Future Predictions: From this dataset, future predictions can be made regarding:

-- The impact of lifestyle choices on hair fall severity. -- The likelihood of hair fall based on genetic predispositions and family history. -- The effectiveness of different hair care products and practices. -- The relationship between stress levels and hair fall.

This dataset serves as a valuable resource for advancing the understanding of hair fall causes and developing targeted solutions to mitigate this common issue.

Male Hair Loss Dataset with annotated images for training AI in male pattern baldness classification, dermatology research

Snapshot img

Hair Loss Treatment Products Market Size 2024-2028

The hair loss treatment products market is estimated to grow by USD 2.52 billion at a CAGR of 4.96% between 2023 and 2028. The market is experiencing momentum due to escalating consumer concerns regarding hair-related issues. Innovative advancements in product development and expansions in product portfolios are leading to premiumization, appealing strongly to consumers who seek reliable and effective solutions. Additionally, heightened awareness about hair care is contributing to increased demand for hair products, driving substantial growth in the market as individuals prioritize addressing these specific concerns. This trend underscores a shift towards more personalized and targeted solutions in the hair care sector, where products are not only functional but also cater to the evolving needs and preferences of consumers. As a result, manufacturers are increasingly focusing on research and development to meet these demands, thereby shaping the competitive landscape of the market.

What will be the size of the Market During the Forecast Period?

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Market Segmentation

By Product Type

The market share growth by the vitamins and supplements segment will be significant during the forecast period. The adoption of vitamins and supplements in the market is high due to factors such as rising awareness and consumption of these hair care products and the increasing demand from developing countries.

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The vitamins and supplements segment was valued at USD 3.28 billion in 2018. Vitamins and supplements are great for the overall health of the hair and boost hair growth significantly. Vitamins fight frizz, tame flyaways, and protect against heat damage caused by styling tools. Meanwhile, supplements such as iron, biotin, zinc, selenium, and folic acid improve hair health and growth. Such factors are driving the growth of the vitamins and supplements segment in the market during the forecast period.

By Region

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APAC is estimated to contribute 41% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. Countries such as China, Japan, and India are the major revenue contributors in APAC. This is due to the changing climate in various regions of APAC, which is an environmental factor causing people to suffer from hair damage and hair loss-related issues. Major manufacturers such as Unilever PLC and L'Oreal SA have been introducing innovative and enhanced hair loss treatment products every year, which are affordable and easily available in all supermarkets and hypermarkets in developed as well as developing countries. Moreover, the growing trend of online shopping is contributing to the growth of the market in APAC. Hair loss treatment products are often complemented by hair wigs and extensions, providing both medical and cosmetic solutions for individuals experiencing hair thinning or loss. In developing markets, e-commerce companies offer discounts on almost every product to increase the volume of sales of personal care products, including hair loss treatment products.

Market Dynamics and Customer Landscape

The market encompasses a wide range of offerings designed to address various types of hair loss, including hormonal imbalance-related baldness, androgenetic alopecia, alopecia areata, and chemotherapy-induced hair loss. Factors contributing to the growth of this market include stress, environmental pollution, major diseases, aging, and lifestyle. Hormonal imbalance, particularly in males and females, is a significant cause of hair loss. Medications, shampoos, conditioners, serums, and hair care products are the primary hair loss treatment product categories. TV commercials have played a significant role in emphasizing the importance of addressing hair loss, driving demand for these products. Stress level and lifestyle choices also impact hair health, making stress management and self-care essential. Cosmetic clinics are increasingly recommending hair fall control products from Plenty Natural to effectively address male hair loss and promote healthier hair growth. Oral supplements, laser therapy, scalp injections, and hair transplant surgeries are other popular hair loss treatment options. Male and female hair loss, as well as baldness, are common concerns addressed by these treatments. Aging and major diseases, such as alopecia areata, also contribute to the market's growth. The dermatology industry plays a crucial role in diagnosing and treating hair loss conditions, further bolstering market demand.

Key Market Driver

The market experiences notable growth due

Creating a dataset for hair-fall prediction involves capturing various attributes potentially linked to hair health. Attributes like total_protein, total_keratine, hair_texture, vitamin, manganese, iron, calcium, body_water_content (ranging from 0 to 100), stress_level, and liver_data serve as potential indicators. Total_protein and total_keratine represent essential elements for hair strength and growth, while vitamin, iron, and calcium levels contribute to overall health. Manganese supports enzymatic functions related to hair health, while body_water_content signifies hydration, crucial for hair vitality. Stress_level and liver_data act as factors affecting hair conditions.

The target attribute, hair_fall, ranges from 0 to 5, representing varying degrees of hair loss intensity. This dataset, generated with 100000 entries, mimics real-world scenarios, encompassing diverse values for each attribute. Analyzing this dataset can facilitate predictive modeling to ascertain the correlation between these attributes and hair fall. Utilizing machine learning algorithms, this dataset enables the development of predictive models, aiding in understanding and foreseeing hair fall trends based on an individual's physiological and environmental attributes. Ultimately, such a dataset empowers the creation of models aimed at predicting and managing hair loss, potentially revolutionizing personalized hair care strategies.

This statistic shows the usage of hair regrowth products in the United States in 2020. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, ***** million Americans used hair regrowth products in 2020.

In 2021, around ** percent of surveyed female respondents from the Chinese Mainland stated that they were affected by hair loss. Around ** percent of participants in Spain said the same that year.

Men hair loss dataset for computer vision. Our data includes perfect segmentation and Norwood scale classification to train a robust AI model

Bald Men Dataset

Dataset comprises 3,100 images from 775 individuals, featuring male alopecia cases captured from two angles (front + top views) with corresponding segmentation masks. Designed for machine learning and deep learning models, this collection supports research in hair follicles analysis, hair density measurement, and scalp health evaluation.

By leveraging this dataset, researchers can improve learning algorithms for detecting hair disorders, evaluating hair restoration techniques, and training models for early diagnosis of alopecia. - Get the data

The inclusion of segmentation masks ensures accurate classification of hair textures, scalp conditions, and hair growth stages, making it invaluable for medical image analysis and AI-driven dermatology.

💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at https://unidata.pro to discuss your requirements and pricing options.

Example for the dataset

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F27063537%2F94b27bc05225cb65e752c8df15803d84%2FFrame%203%20(1).png?generation=1751972352481372&alt=media" alt=""> Each participant contributes 4 images (original + mask pairs), enabling precise diagnosis of hair loss, hair thinning patterns, and treatment personalization.

🌐 UniData provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects

The Europe Hair Loss Treatment Products Market report segments the industry into Product Type (Shampoo & Conditioners, Oils, Serums, Other Product Types), Distribution Channel (Supermarkets/Hypermarkets, Pharmacies, Specialty Stores, Online Retail Stores, Other Distribution Channels), and Geography (Germany, United Kingdom, France, Spain, Italy, Russia, Other Geographies). Includes historical insights and five-year forecasts.

Male pattern baldness can have substantial psychosocial effects, and it has been phenotypically linked to adverse health outcomes such as prostate cancer and cardiovascular disease. We explored the genetic architecture of the trait using data from over 52,000 male participants of UK Biobank, aged 40–69 years. We identified over 250 independent genetic loci associated with severe hair loss (P

Male Hair Loss Dataset - 2 400+ images

Dataset comprises 2,400+ photos of male alopecia (hair loss) captured from 5 angles, meticulously labeled into 7 classes according to the Norwood-Hamilton scale. It is designed for machine learning and deep learning applications, particularly in diagnosing hair disorders, evaluating scalp health, and personalizing hair restoration treatments. By utilizing this dataset, researchers and dermatologists can enhance hair loss analysis, improve… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/hair-loss-male-norwood-scale.

The Hair Loss Treatment Products Market report segments the industry into Product Type (Shampoo & Conditioner, Oil, Serum, Other Product Type), Distribution Channel (Supermarkets/Hypermarkets, Convenience Stores, Specialty Retailers, Pharmacies, Online Retail, Other Distribution Channel), and Geography (North America, Europe, Asia-Pacific, South America, Middle East & Africa).

Hair Loss

## Overview

Hair Loss is a dataset for classification tasks - it contains Level Type annotations for 665 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).

Among Medihair clients, only 15.6 percent stated that they used medication for hair loss such as finasteride or minoxidil prior to seeking out a hair transplant in 2020 and 2021, whereas 84.4 percent did not use a medication. This statistic shows the percentage of global Medihair clients using finasteride or minoxidil before seeking a hair transplant in 2020 and 2021.

United States Men’s Hair Loss Prevention Growth Products Market was valued at USD 314.56 Million in 2024 and is expected to reach USD 657.89 Million by 2030 with a CAGR of 5.34%.

The global laser hair loss treatment market is experiencing steady growth, projected to reach $268.3 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 3.6% from 2025 to 2033. This growth is fueled by several key factors. Increasing awareness of hair loss solutions, coupled with advancements in laser technology offering less invasive and more effective treatments, are driving market expansion. The rising prevalence of androgenetic alopecia (male and female pattern baldness) across various age demographics significantly contributes to this demand. Furthermore, the growing acceptance of non-surgical cosmetic procedures and a rising disposable income in key regions are bolstering market expansion. The market is segmented by laser type (low-level, medium-level, and others) and target gender (male and female), with the low-level laser segment currently holding a significant market share due to its established safety profile and accessibility. Despite promising growth trajectories, market expansion faces certain constraints. The relatively high cost of laser hair loss treatments compared to other alternatives remains a barrier to entry for many potential consumers. Moreover, the efficacy of laser therapy varies among individuals, and inconsistent results can impact market perception. Nevertheless, ongoing research and development focused on improving device effectiveness and affordability are expected to mitigate these challenges in the long term. The increasing availability of at-home laser devices is also anticipated to contribute to future growth, broadening market access and driving overall market expansion. Key players in the market, including Apira Science, Capillus, Eclipse Aesthetics, HairMax, iRestore, and NutraStim, are actively investing in product innovation and strategic marketing initiatives to strengthen their market positions and capitalize on the growth opportunities.