metadata
license: gpl-3.0
inference: false
tags:
- image-classification
- computer-vision
- vision
- yolo
- yolov5
How to use
- Install yolov5:
pip install -U yolov5
- Load model and perform prediction:
import yolov5
# load model
model = yolov5.load('fcakyon/yolov5n-cls-v7.0')
# set image
img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
# perform inference
results = model(img)
- Finetune the model on your custom dataset:
yolov5 classify train --img 128 --data mnist2560 --model fcakyon/yolov5n-cls-v7.0 --epochs 1 --device cpu