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12,500 sets of image editing (scene editing) data, including 2,500 sets for shadow adjustment, 2,500 sets for light source adjustment, 2,500 sets for adding/removing reflective objects, 2,500 sets for exposure correction, and 2,500 sets for special effects filters.The images cover a wide range of scenes, categories, weather conditions, and time periods.The matching accuracy between images and textual content is no less than 95%.The data can be used for tasks such as image compositing and virtual scene generation.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Data Content
Each group contains one original image, one result image (edited and annotated based on the original image), one Chinese TXT document, and one English TXT document.
Data Scale
12,500 groups, including 2,500 groups for shadow adjustment, 2,500 groups for light source adjustment, 2,500 groups for adding/removing reflective objects, 2,500 groups for exposure correction, and 2,500 groups for special effects filters.
Data diversity
Multiple scenes, multiple categories, multiple weather conditions, and multiple time periods.
Data format
Images in formats such as JPG, etc.; documents in TXT format.
Nexdata’s LLM datasets can support a wide range of large language model development tasks, including pre-training, supervised fine-tuning, instruction tuning, preference optimization, evaluation, and domain-specific model development. Depending on the dataset, data may include text, instruction-response pairs, conversations, question-answer pairs, reasoning data, and other structured or annotated content.
Can Nexdata customize LLM datasets based on our specific model and requirements?
Yes. If our off-the-shelf LLM datasets do not fully match your requirements, Nexdata provides flexible custom data collection, generation, annotation, curation, and quality control services. We can customize datasets based on your target languages, domains, use cases, data formats, task types, volume, and quality requirements to support specific LLM training and evaluation projects.
Can Nexdata provide large-scale and high-quality data for LLM development?
Yes. Nexdata can support large-scale LLM data projects across multiple languages, domains, and data types. Our data services include multi-stage quality control, data cleaning, annotation, validation, and curation to help ensure consistency and usability. For projects requiring data beyond our existing datasets, our customized data services can be scaled according to the required volume, specifications, and delivery schedule.
Specifications
Sample
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