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.