This model is a large variant of MobileNetV4 trained at 384x384 resolution on ImageNet-1K. It is published through the timm library and can be used with both the timm and Transformers ecosystems for image classification and as a backbone for other vision tasks.
Mobilenetv4 Conv Large.e600 R384 In1k is an Other AI product. It focuses on obtaining an efficient, high-accuracy MobileNetV4 model for image classification tasks on resource-constrained devices. It is built as an open-source project for developers. Mobilenetv4 Conv Large.e600 R384 In1k is open source under the Open Source license. The product ships for the web and API.
timm builds and maintains Mobilenetv4 Conv Large.e600 R384 In1k, and the product first shipped in 2016. Development happens publicly on GitHub with 77.7k stars and 23 commits in the last 90 days. It exposes integrations via a public API.
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