Efficientnet B3.imagenet
This repository provides ImageNet-pretrained EfficientNet-B3 weights in Safetensors format for use with the segmentation-models-pytorch library. Developers can load the encoder in PyTorch image segmentation models such as U-Net.
Overview
7 featuresEfficientnet B3.imagenet is an Other AI project. It focuses on providing pretrained EfficientNet-B3 weights for developers building image segmentation models. It is built as an open-source project for machine learning developers. Efficientnet B3.imagenet is open source under the MIT license. Efficientnet B3.imagenet is available on the command line, and it can be self-hosted.
Behind Efficientnet B3.imagenet is Segmentation Models Pytorch, and it first shipped in 2019. Development happens publicly on GitHub with 11.7k stars and 115 commits in the last 90 days. Among its 7 catalogued features are pretrained weights, image classification, and safetensors format.
Summary written by a language model from the project’s public pages.
- Pretrained weights
- Image classification
- Safetensors format
- PyTorch support
- Segmentation encoder
- Model card
- Inference providers
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed26 Aug · 13:16 UTCsmp-hub/efficientnet-b3.imagenet verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Efficientnet B3.imagenet
- What does Efficientnet B3.imagenet do?
- Efficientnet B3.imagenet focuses on providing pretrained EfficientNet-B3 weights for developers building image segmentation models. It is catalogued under Other AI on PulseGate.
- Who should use Efficientnet B3.imagenet?
- Efficientnet B3.imagenet is an open-source project built for machine learning developers.
- Is Efficientnet B3.imagenet free?
- Yes — Efficientnet B3.imagenet is open source under the MIT license and free to use.
- What platforms does Efficientnet B3.imagenet run on?
- Efficientnet B3.imagenet runs on the command line. It can also be self-hosted.
- Is Efficientnet B3.imagenet still maintained?
- The GitHub repository shows 115 commits in the last 90 days.
- Who makes Efficientnet B3.imagenet?
- Efficientnet B3.imagenet is developed by Segmentation Models Pytorch.
- When did Efficientnet B3.imagenet launch?
- Efficientnet B3.imagenet first shipped in 2019.
- Is Efficientnet B3.imagenet open source?
- Yes — Efficientnet B3.imagenet is open source under the MIT license, developed on GitHub.
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