This ConvNeXt Base model has been pre-trained using CLIP on LAION-2B data and fine-tuned on ImageNet-12k and ImageNet-1k. It is part of the PyTorch Image Models (timm) library and can be used for image classification and as a feature extractor. The model offers strong performance on standard vision benchmarks.
In the Classification & entity recognition space, Convnext Base.clip Laion2b Augreg Ft In12k In1k takes a focused approach. It focuses on providing strong image classification backbones pre-trained on large-scale datasets for computer vision tasks. It is built as an open-source project for computer vision developers. The project is open source (Open Source). Convnext Base.clip Laion2b Augreg Ft In12k In1k is available on the web and API.
Behind Convnext Base.clip Laion2b Augreg Ft In12k In1k is timm, and it first shipped in 2022. Key capabilities include Image Classification, CLIP Pretraining, and Convolutional Neural Network.
Summary written by a language model from the project’s public pages.
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