I want to use Cobra to do binary classification (e.g. yes or no) on very small images. Specifically, I am going to use the cropped bounding box patch (which is the result of Object Detection) as input for Cobra and verify whether the class of bounding box is correct. Can you tell me the approximate minimum image size that can be classified? The prompt will use the following input. The input images have various sizes and appearances as shown below.
prompt:
Based on the given image, answer the following question with 'yes' or 'no': Question: [Is there a person in this image?], Answer:
input image example:
I want to use Cobra to do binary classification (e.g. yes or no) on very small images. Specifically, I am going to use the cropped bounding box patch (which is the result of Object Detection) as input for Cobra and verify whether the class of bounding box is correct. Can you tell me the approximate minimum image size that can be classified? The prompt will use the following input. The input images have various sizes and appearances as shown below.
prompt:
Based on the given image, answer the following question with 'yes' or 'no': Question: [Is there a person in this image?], Answer:
input image example:
