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 is an Other AI product. It focuses on providing an efficient modern convolutional vision backbone for image classification and transfer learning. It is built as an open-source project for AI developers. Convnextv2 Tiny 22k 224 is open source under the Open Source license. It runs on the web and API.
It is developed by AI at Meta (United States), and the product first shipped in 2023. The GitHub repository has been archived. Key capabilities include Image Classification, ConvNeXt V2, and pretrained on ImageNet-22K.
Latest indexed changes and source events
facebook/convnextv2-tiny-22k-224 verified by the PulseGate indexer
⚠ Archived
Other apps tracked under the same category.
