Both
and
are commonly used in computer vision projects. Below, we compare and contrast
and
.
Using Autodistill, you can compare LLaVA and DETIC on your own images in a few lines of code.
Here is an example comparison:
To start a comparison, first install the required dependencies:
Next, create a new Python file and add the following code:
Above, replace the images in the `images` directory with the images you want to use.
The images must be absolute paths.
Then, run the script.
You should see a model comparison like this:
When you have chosen a model that works best for your use case, you can auto label a folder of images using the following code:
LLaVA is an open source multimodal language model that you can use for visual question answering and has limited support for object detection.
How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion MatrixDetic is an open source segmentation model developed by Meta Research and released in 2022.
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