tf_efficientnetv2_s.in21k_ft_in1k is a fine-tuned EfficientNetV2-S model from the timm library, pre-trained on ImageNet-21k and fine-tuned on ImageNet-1k. It is intended for image classification tasks and can be loaded via timm or Hugging Face Transformers. The model provides strong performance with relatively low computational requirements.
Tf Efficientnetv2 S.in21k Ft In1k is an Other AI project. Quickly obtaining a high-accuracy image classification model without training from scratch. It is built as an open-source project for developers. Tf Efficientnetv2 S.in21k Ft In1k is open source under the Apache-2.0 license. Tf Efficientnetv2 S.in21k Ft In1k is available on the web and API.
It is developed by PyTorch Image Models (timm), and it first shipped in 2017. The project is developed in the open on GitHub with 5.3k stars. Among its 3 catalogued features are image classification, transfer learning, and pretrained weights. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do