Purpose

This computer vision model detects logos and print on clothes pictures. It works with studio pictures as well as second hands picture.

It can be use to recognize brands or logo, to classify clothes or to detect plagiarism.

It has been trained on a dataset made up of 8k second hand (=amateur) pictures.

The base model is yolov8n that has been retrained using Ultralytics toolset. You can see the training parameters at neural-network-transfer-learning.ipynb and yolo_runs folder.

Installation

pip install -r requirements.txt

The dataset has been curated by hand. For any enquiry about the training dataset, contact me.

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Base model

Finetuned

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this model