ConvNeXt V2 Tiny is a modernized convolutional neural network architecture developed by Meta AI. This variant was pretrained on the ImageNet-22K dataset at 224x224 resolution. It can be used for image classification and as a strong backbone for downstream computer vision tasks. The model is available through both the timm library and Hugging Face Transformers.
Convnextv2 Tiny 22k 224 sits in PulseGate's Other AI category. It focuses on providing an efficient modern convolutional vision backbone for image classification and transfer learning. Convnextv2 Tiny 22k 224 is an open-source project aimed at AI developers. The project is open source (Open Source). Convnextv2 Tiny 22k 224 is available on the web and API.
Behind Convnextv2 Tiny 22k 224 is AI at Meta, based in the United States, and it first shipped in 2023. The GitHub repository has been archived. Among its 3 catalogued features are Image Classification, ConvNeXt V2, and pretrained on ImageNet-22K.
Summary written by a language model from the project’s public pages.
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