resnet50_clip.yfcc15m is a vision encoder from the timm library pretrained with CLIP on the YFCC15M dataset. It enables zero-shot image classification and image-text similarity computation. The model can be used for open-vocabulary recognition tasks and as a strong visual backbone in various computer vision pipelines.
Resnet50 Clip.yfcc15m sits in PulseGate's Other AI category. It focuses on performing classification and retrieval on images using natural language descriptions without labeled training data. Resnet50 Clip.yfcc15m is an open-source project aimed at developers. The project is open source (Open Source). It runs on the web and API.
Behind Resnet50 Clip.yfcc15m is timm, and the product first shipped in 2024.
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