Datasets:
Tasks:
Zero-Shot Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
1M - 10M
Tags:
image recognition
License:
| license: apache-2.0 | |
| language: | |
| - en | |
| tags: | |
| - image recognition | |
| task_categories: | |
| - zero-shot-classification | |
| size_categories: | |
| - 10M<n<100M | |
| # Recognize Anything 14M Dataset Card | |
| ## Dataset details | |
| **Dataset type:** | |
| These annotation files come from the Recognize Anything Model (RAM). RAM propose an automatic data engine to generate substantial image tags from image-text pairs. | |
| **Dataset date:** | |
| Recognize Anything 14M Dataset was collected in April 2023, by an automatic data engine proposed by RAM. | |
| **Paper or resources for more information:** | |
| https://github.com/xinyu1205/recognize-anything | |
| **Where to send questions or comments about the model:** | |
| https://github.com/xinyu1205/recognize-anything/issues | |
| ## Intended use | |
| **Primary intended uses:** | |
| The primary use of Recognize Anything is research on fundamental image recognition models. | |
| **Primary intended users:** | |
| The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence. | |