Downloads · 30 days
0
louisJLN/clothes-stance
clothes-stance is a image classification model from louisJLN. Use it when you need a label for an image. The card lists the license as mit.
This very lightweight model recognizes clothes pictures stance.
Downloads · 30 days
0
Access
Public
Updated Nov 10, 2025
Repo size
31.1 MB
Likes
2
Public
Click a slice to open those files.
.pt16.6 MB · 53%
From the Hugging Face model README
This very lightweight model recognizes clothes pictures stance.

This model classifies clothes picture based on their stance. It can recognize picture of the front, back, label, close up and more. It is not perfectly accurate on the recognized stance but is perfect to sort pictures consistently e.g. front first, back second, third closeup and label last.
It has been trained on a dataset made up of 50% commercial studio pictures (from Fashionpedia) and 50% second hand ( =amateur) pictures.
The base model is nvidia_efficientnet_b0 that has been retrained using pytorch. You can see the training
parameters here.
As the base model is super small (5.2M parameters), it runs fast on CPU and with a very small memory footprint. It also runs blazing fast on GPU. CUDA is not required to run the model.
pip install -r requirements.txt
The dataset has been curated by hand. For any enquiry about the training dataset, contact me.