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# CLIP feature extraction
Resnet50 Clip Gap.openai
Apache-2.0
A ResNet50 variant based on the visual encoder part of the CLIP model, extracting image features through Global Average Pooling (GAP)
Image Classification
Transformers
TransformersR
timm
250
1
Resnet50 Clip Gap.cc12m
Apache-2.0
CLIP-style image encoder based on ResNet50 architecture, trained on CC12M dataset, extracting features through Global Average Pooling (GAP)
Image Classification Transformers
TransformersR
timm
19
0
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