- Community
- Model
- general-image-embedding-vit
dba3b4530ff4466a80812892823d51cc
dba3b4530ff4466a80812892823d51cc
a78386d5142c4025ac42272b86f06134
Notes
Produce embeddings (numerical vectors that represent the input images in a 768-dimensional space) which are computed by using Clarifai’s ‘General’ model. The vectors of visually similar images will be close to each other in the 768-dimensional space. The ‘General Embedding’ model can be used for filtering, indexing, ranking, and organizing images according to visual similarity and transfer learning tasks.
- "dba3b4530ff4466a80812892823d51cc" version has been trained on combination of ImageNet21k, OpenImages, and a Clarifai's internal dataset.
- "a78386d5142c4025ac42272b86f06134" version has been trained on ImageNet21k.
- ID
- Namegeneral-vision-transformer
- Model Type IDVisual Embedder
- DescriptionAI visual recognition model for returning 768-dimensional numerical vectors that represent the items in images and video.
- Last UpdatedOct 16, 2024
- PrivacyPUBLIC
- Toolkit
- License
- Share
- Badge
No Model Version Results Found
You need to train models to view model version, start by creating a new model version.
Concept | Date |
---|