ResNeXt-50
University of California San DiegoFacebookImage classificationOpen weights
Developed by University of California San Diego,Facebook in 2016, ResNeXt-50 is a image classification model with 25000000.0 parameters with openly available weights.
About ResNeXt-50
We present a simple, highly modularized network architecture for image classification. Our network is constructed by repeating a building block that aggregates a set of transformations with the same topology. Our simple design results in a homogeneou
Details
- Provider
- University of California San Diego,Facebook
- Task
- Image classification
- Parameters
- 25000000.0
- Released
- 2016-11-16
- Open weights
- Yes