20,011 Multilingual Scene Text Image Caption Dataset for OCR & Vision AI

1.51M Instruction-Based Image Editing Dataset for Generative AI Training

This dataset contains 1.51 million annotated image editing pairs. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, the targets that need to be edited in the image are edited according to the editing instructions. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.

generative AI image dataset image editing dataset AI image editing dataset image editing training data AI image manipulation dataset image editing pairs dataset image inpainting dataset style transfer dataset

Landmark Image Dataset – 200K Global Building Photos with Captions

This dataset contains 200,000 sets of images and bilingual captions (Chinese and English) featuring landmark buildings from over 20 countries, including the United States, United Kingdom, France, Germany, and Russia. Each set includes 1–10 images of a specific landmark, captured from different angles, distances, and time periods. The dataset covers approximately 80,000 domestic landmarks and 120,000 international ones. Types of landmarks include commercial buildings, ancient architecture, monuments, libraries, and scenic spots. Annotations include landmark country, city, location, category, and descriptive captions. This high-quality dataset is ideal for training models in landmark recognition, image classification, multilingual image captioning, and image-to-text retrieval.

landmark image dataset building recognition dataset global landmark image caption dataset bilingual image caption data Chinese-English caption dataset landmark classification dataset image-text dataset tourism landmark dataset cultural heritage image dataset image captioning for AI training

120K Multimodal QA Dataset – Visual & Text Reasoning

This dataset includes 120,000 multimodal question-answer pairs across six major academic disciplines, including medicine, engineering, art, science, and more. Each QA pair combines textual and visual content—such as charts, diagrams, blueprints, and artworks—crafted to test logical reasoning, cross-modal understanding, and domain-specific knowledge. All questions have been reviewed by subject-matter experts to ensure academic quality and accuracy. Ideal for training multimodal large language models (MLLMs), visual question answering (VQA) systems, and AI applications requiring deep contextual reasoning, this dataset supports fine-tuning tasks like knowledge grounding, visual-text alignment, and decision-making. All data complies with GDPR, CCPA, and PIPL regulations, ensuring ethical use and privacy protection.

multimodal dataset VQA dataset multimodal QA data reasoning dataset for AI image-text QA dataset domain-specific AI training data chart reasoning dataset LLM multimodal training data

Icon Image Caption Dataset (100K)

This dataset contains 100,145 annotated icon samples. The data includes two major categories of icons, 3D Style Icons and Vector Illustration Icons, covering a total of 16 subcategories. In terms of annotation, Each icon is paired with a concise Chinese textual description of about 30 characters. The data can be used for tasks such icon recognition, vision–language model training, user interface understanding.

icon image dataset icon caption dataset ui icon dataset icon image data 3d icon dataset vector icon dataset

1.51M Instruction-Based Image Editing Dataset for Generative AI Training

This dataset contains 1.51 million annotated image editing pairs. Editing types include 500,000 sets of portrait/object consistency editing, 300,000 sets of structural edits, 210,000 sets of mixed editing, and 450,000 sets of spatial editing, and 50,000 sets of style transfer editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, the targets that need to be edited in the image are edited according to the editing instructions. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.

generative AI image dataset image editing dataset AI image editing dataset image editing training data AI image manipulation dataset image editing pairs dataset image inpainting dataset style transfer dataset

Landmark Image Dataset – 200K Global Building Photos with Captions

This dataset contains 200,000 sets of images and bilingual captions (Chinese and English) featuring landmark buildings from over 20 countries, including the United States, United Kingdom, France, Germany, and Russia. Each set includes 1–10 images of a specific landmark, captured from different angles, distances, and time periods. The dataset covers approximately 80,000 domestic landmarks and 120,000 international ones. Types of landmarks include commercial buildings, ancient architecture, monuments, libraries, and scenic spots. Annotations include landmark country, city, location, category, and descriptive captions. This high-quality dataset is ideal for training models in landmark recognition, image classification, multilingual image captioning, and image-to-text retrieval.

landmark image dataset building recognition dataset global landmark image caption dataset bilingual image caption data Chinese-English caption dataset landmark classification dataset image-text dataset tourism landmark dataset cultural heritage image dataset image captioning for AI training

50,000 Image Editing Datasets – Object Removal, Addition & Modification Dataset for AI Training

50,000 Sets - Image Editing Data. The editing types include human attribute editing, image semantic editing, and image structure editing. The editing targets cover scenes such as people, animals, goods, plants, and landscapes. In terms of annotation, based on the editing instructions, the targets that need to be edited in the image are edited. The data can be used for tasks such as image synthesis, data augmentation, and virtual scene generation.

image editing dataset image synthesis data object removal dataset object addition data AI image generation dataset virtual scene dataset annotated image editing data inpainting dataset AI training data for image manipulation generative image dataset

120K Multimodal QA Dataset – Visual & Text Reasoning

This dataset includes 120,000 multimodal question-answer pairs across six major academic disciplines, including medicine, engineering, art, science, and more. Each QA pair combines textual and visual content—such as charts, diagrams, blueprints, and artworks—crafted to test logical reasoning, cross-modal understanding, and domain-specific knowledge. All questions have been reviewed by subject-matter experts to ensure academic quality and accuracy. Ideal for training multimodal large language models (MLLMs), visual question answering (VQA) systems, and AI applications requiring deep contextual reasoning, this dataset supports fine-tuning tasks like knowledge grounding, visual-text alignment, and decision-making. All data complies with GDPR, CCPA, and PIPL regulations, ensuring ethical use and privacy protection.

multimodal dataset VQA dataset multimodal QA data reasoning dataset for AI image-text QA dataset domain-specific AI training data chart reasoning dataset LLM multimodal training data

20,011 Multilingual Scene Text Image Caption Dataset for OCR & Vision AI

scene text dataset

OCR dataset

OCR image dataset

image caption dataset

multilingual OCR dataset

vision language dataset

image-text dataset

VLM dataset

Current Project Maturity

20,011 Multilingual Scene Text Image Caption Dataset for OCR & Vision AI

scene text dataset OCR dataset OCR image dataset image caption dataset multilingual OCR dataset vision language dataset image-text dataset VLM dataset

Current Project Maturity

scene text dataset

OCR dataset

OCR image dataset

image caption dataset

multilingual OCR dataset

vision language dataset

image-text dataset

VLM dataset