EfficientNet classification architecture
The captured configuration identifies EfficientNetForImageClassification with model type efficientnet and Transformers support.
Open Source Model Profile · google
efficientnet-b0
efficientnet-b0 is an EfficientNet-family image-classification model from google. According to the model card, it is the B0 variant trained on ImageNet-1k.
- Publisher
- Task
- image-classification
- Model type
- efficientnet
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
efficientnet-b0 is published by google as an image-classification model. The captured configuration identifies EfficientNetForImageClassification with model type efficientnet. According to the model card, it is the B0 EfficientNet model trained on ImageNet-1k at 224x224 resolution.
Recorded capabilities
ImageNet-1k B0 variant
According to the model card, this is the B0 model trained on ImageNet-1k at 224x224, using compound scaling across depth, width, and resolution.
Vision and dataset tagging
Hub tags record efficientnet, vision, image-classification, imagenet-1k dataset linkage, and the arxiv:1905.11946 reference.
Documented classification usage
According to the model card, the raw model is for image classification, with a documented Transformers example classifying an image into 1,000 ImageNet classes.
Use cases in the source record
- Raw image-classification workflows assigning images to the 1,000 ImageNet classes with the documented Transformers example.
- Fine-tuning starting point for task-specific image classifiers, consistent with the publisher's pointer to fine-tuned versions.
Limitations and unknowns
- No parameter count was extracted from this record.
- No evaluation results were extracted in structured form.
- The model card states it was written by the Hugging Face team because the releasing team did not provide one; technical claims therefore carry that provenance.
- Provider state is historical snapshot data and should be refreshed before being presented as current.
Source and provenance
Source: google/efficientnet-b0
Captured: Unknown. Processed: 2026-09-07T19:34:45.770292+00:00.
EfficientNet (b0 model) EfficientNet model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks by Mingxing Tan and Quoc V. Le, and first released in this repository . Disclaimer: The team releasing EfficientNet did not write a model card for this model so this model card has been written by the Hugging Face team. Model description EfficientNet is a mobile friendly pure convolutional model (ConvNet) that proposes a new scaling method that uniformly scales all dimensions of depth/width/resolution using a simple yet highly effective compou…
F001F002F003F004F005F006F007F008F009F010F011F012F013F014