PhotoChat, the first dataset that casts light on the photo sharing behavior in online messaging. PhotoChat contains 12k dialogues, each of which is paired with a user photo that is shared during the conversation. Based on this dataset, we propose two tasks to facilitate research on image-text modeling: a photo-sharing intent prediction task that predicts whether one intends to share a photo in the next conversation turn, and a photo retrieval task that retrieves the most relevant photo according to the dialogue context.

Dataset Card for PhotoChat++

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  Dataset Summary

PhotoChat++ is a publicly available multi-modal dialogue dataset, an extended version of PhotoChat. PhotoChat++ contains six intent labels, a triggering sentence, an image description, and salient information (e.g., “words” or “phrases”) to invoke the image-sharing behavior. The purpose of this dataset is to thoroughly assess the image-sharing… See the full description on the dataset page: https://huggingface.co/datasets/passing2961/photochat_plus.

A dialogue dataset with photo sharing behavior for joint image-text modeling.

Dataset Card for "PhotoChat"

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Snapchat, owned by Snap Inc., is a popular mobile photo and messaging app. As of February 2025, 54.7 percent of Snapchat audiences were female in the United States. Overall, male users made up a share of 45 percent of the photo and social media app.

In 2021, photo and social media app Snapchat had approximately 428 million monthly active users worldwide, a year-on-year change of +20.9 percent on the previous year. Overall, 10.1 percent of internet users use Snapchat. It is estimated that the platform will reach over 500 million monthly active users by 2024.

The photo-sharing market, fueled by the ubiquitous nature of smartphones and the increasing demand for visual communication, is experiencing robust growth. While precise figures for market size and CAGR are unavailable, a reasonable estimation based on industry trends and the presence of major players like Facebook, Yahoo, and Hewlett Packard suggests a substantial market value. Considering the rapid adoption of social media and cloud storage solutions, coupled with advancements in image editing and sharing technologies, the market likely exceeded $50 billion in 2025. This growth is driven by several factors, including the rise of social media platforms integrating robust photo-sharing capabilities, the increasing popularity of visual content marketing, and the proliferation of high-resolution cameras in mobile devices. Furthermore, the integration of AI-powered features such as automated tagging and advanced editing tools enhances user experience and drives market expansion. However, challenges remain. Competition among established players and emerging startups is fierce, leading to price wars and a focus on innovative features to attract and retain users. Data privacy concerns and the ever-evolving landscape of online security also pose significant restraints. Segmentation of the market involves various platforms (mobile apps, web platforms, social media integrations), user demographics (age, location, usage patterns), and revenue models (advertising, subscription services). The geographic distribution likely shows strong performance in North America and Europe, with Asia-Pacific exhibiting significant growth potential in the coming years, driven by increasing internet penetration and smartphone adoption. The forecast period (2025-2033) anticipates continued market expansion, albeit at a potentially moderating CAGR compared to the past, as market saturation gradually occurs in developed regions.

The photo-sharing market, encompassing platforms and services facilitating image sharing and storage, is experiencing robust growth driven by increasing smartphone penetration, readily available high-speed internet, and the ever-expanding use of social media. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated value exceeding $50 billion by 2033. Key drivers include the rising popularity of user-generated content, the increasing demand for advanced photo editing and sharing features (including AI-powered enhancements), and the proliferation of cloud-based storage solutions. The market is segmented based on platform type (social media, dedicated photo-sharing apps, cloud storage services), user type (individual, professional), and geographic location. Major players like Facebook, Yahoo, and newer entrants leverage innovative features such as advanced search capabilities, augmented reality filters, and interactive storytelling tools to attract and retain users. Despite its growth, the market faces certain restraints. Concerns around data privacy and security, increasing competition among established and emerging platforms, and challenges related to managing the massive volume of data generated are factors that could impact growth. The market's future success will hinge on platforms’ abilities to effectively address user privacy concerns, innovate with engaging features, and effectively monetize their services without compromising user experience. Furthermore, the rise of AI-driven photo editing and organization tools will continue to reshape the competitive landscape, with companies investing heavily in R&D to stay ahead of the curve. Regional differences in internet penetration and mobile device ownership also influence market growth, with North America and Asia currently holding significant market share.

The AI gender swapper market is experiencing rapid growth, driven by increasing demand for fun and creative photo and video editing tools across personal entertainment and media content creation. The market, estimated at $500 million in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $2.5 billion by 2033. This growth is fueled by several key factors: the rising adoption of smartphones and social media, increasing accessibility of AI-powered editing software and platforms, and the continuous improvement of AI algorithms leading to more realistic and seamless gender swaps. The software segment currently dominates the market due to its ease of access and affordability, but platform-based solutions are gaining traction with their enhanced features and integration capabilities. Significant regional variations exist, with North America and Asia Pacific expected to lead the market, driven by higher levels of technological adoption and a strong presence of major players. However, challenges remain, including concerns about ethical implications, potential misuse, and the need for robust data privacy measures. These factors need to be carefully addressed to ensure responsible innovation and sustainable market growth. The competitive landscape is highly dynamic, with both established tech giants like Snapchat and Picsart, and numerous specialized AI startups such as Reface AI and Lensa, vying for market share. The increasing sophistication of AI algorithms and the introduction of novel features like real-time gender swaps and hyperrealistic transformations are driving innovation within the market. The "other" application segment, encompassing diverse use cases beyond personal entertainment and media content creation, presents considerable growth potential. This could include applications in the fashion industry, film production, and even virtual and augmented reality experiences. Future market growth will depend on addressing ethical considerations, improving algorithm accuracy, and expanding the range of applications. Further research and development efforts focused on enhanced realism, user privacy, and responsible AI practices will be crucial for the continued success of this burgeoning market.

The AI gender swapper market is experiencing rapid growth, driven by increasing demand for advanced photo and video editing tools across personal entertainment, media content creation, and other applications. The market's expansion is fueled by several factors: the rising popularity of social media platforms, where users frequently share edited photos and videos; the increasing accessibility and affordability of AI-powered software and platforms; and advancements in AI technology leading to more realistic and seamless gender swaps. While the exact market size in 2025 is unavailable, a reasonable estimation, considering the current growth trajectory and the involvement of major players like Snapchat and Picsart, could place it around $250 million. Assuming a conservative Compound Annual Growth Rate (CAGR) of 25% for the next five years based on observed rapid adoption, the market could reach approximately $700 million by 2030. This growth is expected across all segments, with software solutions currently dominating the market share due to ease of access and integration within existing workflows. However, platform-based solutions are poised for significant growth as they offer integrated editing suites and broader user engagement potential. Geographic regions like North America and Europe currently hold a larger market share, driven by higher technology adoption rates and disposable incomes, but rapid growth is expected from Asia-Pacific, particularly in India and China, due to the expanding digital landscape and burgeoning mobile usage. Despite its rapid expansion, the AI gender swapper market faces several restraints. Ethical concerns surrounding deepfakes and the potential misuse of this technology for malicious purposes remain a significant hurdle. Stricter regulations regarding the responsible use of AI-powered editing tools and robust verification mechanisms are essential to mitigate risks associated with misinformation and identity theft. Additionally, ensuring data privacy and the responsible handling of user data are crucial for maintaining consumer trust and driving market growth. The market's growth trajectory hinges on balancing technological advancements with ethical considerations and regulatory frameworks to foster a sustainable and responsible market environment. Companies are increasingly focusing on incorporating safeguards to address these concerns, including watermarking features and content verification tools.

As of the third quarter of 2020, it was found that 54 percent of Snapchat users in the United States accessed the photo sharing app on a daily basis. Overall, 92 percent of responding Snapchat users claimed that they used the photo sharing app monthly.

In 2023, the photo messaging app and social media sharing platform Snapchat counted more than **** million users in the United States. This figure is projected to increase to **** million users in 2025, and close to ** million users the year after.

In February 2025, Sweden had around 4.89 million Snapchat users, whilst Norway was home to approximately 3.58 million users. Overall, Denmark and Finland had 2.87 million and 1.91 million users of the social media app, respectively. Snapchat, owned by Snap Inc., is a mobile photo, video, and messaging app which is popular amongst Millennials and Generation Z.

The statistic shows the percentage of social media users who reported daily active usage of the social network Snapchat in the United Kingdom from September 2013 to April 2015. In April 2015, daily use of Snapchat was at 12 percent, 9 percentage points more than in January 2014.

This statistic shows the proportion of photo or video message and Snapchat communication in the United Kingdom (UK) as of June 2014, by device. In June 2014, photo messages comprised four percent of the communication activity through smartphones.