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Icon Image Caption Dataset (100K)

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

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.

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This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
100,145 sets, 16 subclasses
Icon types
3D Style Icons (including 2.5D Style Icons, C4D Style Icons, Light Skeuomorphic Style Icons, Frosted Glass Style Icons) and Vector Illustration Icons (including Linear Icons, Surface Icons, etc., totaling 13 subcategories)
Description Language
Chinese
Data resolution
the resolution should not be lower than 128*128 pixels in principle
Data format
the image files are in common formats such as .jpg, and annotation files are in .txt format
Text length
the description should be around 30 characters
Annotation content
describe the icon, including the icon's name, visual characteristics, and function
Accuracy rate
the image description text is objective and clear, without obvious sentence errors, no sensitive content description, the sentence accuracy rate is not less than 95%
Sample Sample
  • Icon Image Caption Dataset (100K)
  • Icon Image Caption Dataset (100K)
  • Icon Image Caption Dataset (100K)
Recommended DatasetsRecommended Dataset
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What can Nexdata’s LLM datasets be used for?

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.

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