100K+ PSD Design Files Dataset
Generative AI & Computer Vision
Tags and Keywords
£520,300
About
100K+ PSD Design Files Dataset
Description
The 100K+ PSD Design Files Dataset is a curated collection of native Adobe Photoshop design files created for artificial intelligence, graphic design automation, computer vision, multimodal learning, and creative content generation. The dataset contains fully editable
.psd files spanning UI/UX designs, web layouts, mobile app interfaces, social media creatives, marketing materials, posters, banners, advertisements, presentations, digital artwork, and layered graphic compositions across multiple industries.Unlike flattened image formats, native PSD files preserve editable layers, smart objects, masks, text, vector shapes, effects, adjustment layers, blending modes, guides, and design metadata. This makes the dataset highly valuable for training AI models focused on design understanding, automated image editing, layout analysis, creative AI, and design-to-code applications.
Note: Pricing varies depending on several factors, including the number of images, image quality and resolution, metadata availability, annotation requirements, number of attributes, file formats, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| File Name | Name of the native .psd file. |
| File Format | PSD Format. |
| Design Category | Type of design such as UI/UX, web design, social media, poster, banner, logo, presentation, or marketing creative. |
| Canvas Size | Width and height of the Photoshop document. |
| Resolution | Document resolution (DPI/PPI). |
| Layer Count | Total number of editable layers within the PSD file. |
| Effects & Styles | Layer styles such as shadows, gradients, overlays, and blending effects. |
Distribution
- Primary Format:
.psd
Data Volume
- Design Files: 100K+ PSD files
- Dataset Size: The dataset size may vary depending on image resolution, number of layers, embedded assets, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Design Automation: Train AI models to automate graphic design workflows.
- Generative AI: Develop AI systems capable of generating and editing layered Photoshop designs.
- Layout Analysis: Analyze visual composition, layer hierarchy, and design structures.
- Image Editing AI: Build intelligent tools for automated photo and graphic editing.
- Design-to-Code: Support AI models that convert design layouts into production-ready interfaces.
- Template Recommendation: Create systems that recommend design templates and layouts.
- Computer Vision: Train models to understand layered design documents and visual elements.
- Creative AI: Build AI-powered assistants for graphic designers and content creators.
- Brand Asset Analysis: Analyze marketing materials and brand design consistency.
- Multimodal Learning: Train vision-language models using structured design files and metadata.
Coverage
- Geographic Coverage: Global
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| File_Name | String | Photoshop file name | .psd |
| File_Format | String | File format | .psd |
| Design_Category | String | Type of design | UI/UX, Website, Poster, Banner, Social Media, Logo, Flyer, Presentation |
| Canvas_Size | String | Canvas dimensions | Width × Height (pixels) |
| Resolution | Integer | Document resolution | DPI/PPI |
| Layer_Count | Integer | Total editable layers | Positive integer |
| Layer_Types | String | Types of layers present | Text, Shape, Image, Smart Object, Vector, Adjustment |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£520,300
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