Both
and
are commonly used in computer vision projects. Below, we compare and contrast
and
.
Using Autodistill, you can compare CLIP and MetaCLIP on your own images in a few lines of code.
First, install the required dependencies:
Then, create a new Python file and add the following code:
When you run the file, you will see an output that shows the results from the comparison:
CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.
How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion MatrixMetaCLIP is a zero-shot classification and embedding model developed by Meta AI.
How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion MatrixJoin 250,000 developers curating high quality datasets and deploying better models with Roboflow.
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