GPAI Ledger › Adobe Firefly (Adobe) › Capture 11 Aug 2026
Adobe Firefly — capture 20260811T102021Z
| Provider | Adobe |
|---|---|
| Target | provider site — https://www.adobe.com/cc-shared/assets/pdf/trust-center/ungated/whitepapers/creative-cloud/adobe-firefly-image-model-5-training-set.pdf?msockid=… (signed URL; token masked, not linked) |
| Fetched (UTC) | 2026-08-11T10:20:21Z |
| Stored file | 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783.pdf (1,141,438 bytes) |
| SHA-256 | 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783 |
| OpenTimestamps proof | 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783.pdf.ots (calendar-attested; anchored in bitcoin over time) |
| Wayback | Wayback snapshot, 2026-08-12 21:22 UTC (save triggered after capture; separate fetch) |
| Prior capture of this target | — first capture of this target |
| Notes | text_sha256 recorded 20 Aug 2026 from the extracted.txt stored at capture time (bootstrap captures predate this field); raw bytes unchanged |
Verify: sha256sum 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783.pdf must equal the hash above (the filename IS the expected hash); ots verify 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783.pdf.ots -f 4bd528f863edf343f7780271463f34e72d9048ec5788a8645d2d044a58b29783.pdf (opentimestamps.org) proves the capture time (fresh proofs report 'pending' until bitcoin-anchored, typically within a day).
Extracted text
Machine-extracted text (layout may be lost; the authoritative content is the stored file above).
PUBLIC SUMMARY OF TRAINING CONTENT Adobe Firefly Image Model 5 November 2025 2 Public Summary of Training Content for General- Purpose AI Models for Adobe Firefly Image Model 5 as required by Article 53 (1)(d) of Regulation (EU) 2024/1689 (AI Act) General Information Provider identification Provider name and contact details Adobe Inc. 345 Park Avenue, San Jose, CA 95110 Authorised representative name and contact details Adobe Systems Software Ireland Limited Address: 4-6 Riverwalk, Citywest Business Campus, Saggart Dublin 24, D24 DCW0, Dublin, Ireland Email: euaiactauthorisedrep@adobe.com Model identification Versioned model name(s) Firefly Image Model 5 Model dependencies N/A Date of placement of the model on the Union market October 28, 2025 Modalities, overall training data size and other characteristics Modality Image and Video Training data size • More than 1 billion images • 10,000 to 1 million hours of video Types of content • Image — Photography, illustrations, vector images, multi-layered images • Video — Stock footage Latest date of data: acquisition/collection for model training September 2025 Description of the linguistic characteristics of the overall training data The visual data include character and text elements from multiple languages. Other relevant characteristics of the overall training data N/A 3 Additional comments (optional) N/A List of Data Sources Publicly available datasets Have you used publicly available datasets to train the model? Yes If yes, specify the modality(ies) of the content covered by the datasets concerned Image List of large publicly available datasets OpenImages v7 https://storage.googleapis.com/openimages/web/index.html OpenImages v7 is a large dataset of permissively licensed images with annotations. General description of other publicly available datasets not listed above Other datasets subject to permissive licenses. Private non-publicly available datasets obtained from third parties Datasets commercially licensed by rightsholders or their representatives Have you concluded transactional commercial licensing agreement(s) with rightsholder(s) or with their representatives? Yes If yes, specify the modality(ies) of the content covered by the datasets concerned Image and video Private datasets obtained from other third parties Have you obtained private datasets from third parties that are not licensed as described in Section 2.2.1, such as data obtained from providers of private databases, or data intermediaries? Yes If yes, specify the modality(ies) of the content covered by the datasets concerned Image and video If publicly known, list private datasets obtained from other third parties N/A 4 Data crawled and scraped from online sources Were crawlers used by the provider or on behalf of? No Purposes of the crawler(s) N/A General description of crawler behaviour N/A Period of data collection March 2023 – May 2024 Comprehensive description of the type of content and online sources crawled Adobe did not crawl online sources. Instead, we searched specifically for content licensed under CC0 (license dedicating content to the public domain) or in the public domain in limited amounts within select sites — such as photo hosting sites, educational websites, and museum websites — that allowed for content downloading. Type of modality covered Image Summary of the most relevant domain names crawled Flickr.com User data Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model? No Was data collected from user interactions with the provider’s other services or products used to train the model? No Synthetic data Was synthetic AI-generated data created by the provider or on their behalf to train the model? Yes If yes, modality of the synthetic data Image If yes, specify the general-purpose AI model(s) used to generate the synthetic data if available on the market Firefly Image Model 5 Information about other AI models, including provider’s own AI model(s) not available on the market, used to generate synthetic data to train the model to which this Summary applies Internal Adobe model Other sources of data Have data sources other than those described in Sections 2.1 to 2.5 been used to train the model? No © 2025 Adobe. All rights reserved. Adobe and the Adobe logo are either registered trademarks or trademarks of Adobe in the United States and/or other countries. Data Processing Aspects Respect of reservation of rights from text and data mining exception or limitation Are you a Signatory to the Code of Practice for general-purpose AI models that includes commitments to respect reservations of rights from the TDM exception or limitation? No Describe the measures implemented before model training to respect reservations of rights from the TDM exception or limitation before and during data collection, including the opt-out protocols and solutions honoured by the provider or, as applicable, by third parties from which datasets have been obtained N/A. TDM exception was not relied on for training data for this model. Removal of illegal content General description of measures taken Adobe has a policy to scan all visual content used for AI training with classifiers to identify and remove CSAM. In addition, Adobe uses a combination of automated classifiers along with human moderation designed to ensure that content used for training meets Adobe’s policies around harmful content (see https://www.adobe.com/trust/transparency/content-policies/harmful-content.html and https://www.adobe.com/trust/transparency/content-policies/content-rights.html ).