Simple steps | Training Custom Datasets using YOLOv5| Fast & Easy

This video describes simple steps to train custom datasets using the YOLOv5 model. The step by step process is explained below.

1. Prepare dataset:
In this video an Air view dataset is downloaded from roboflow. The dataset contains train, validation and test sets. Each set contains images and corresponding labels which can be downloaded in yolov5 format from the link below.

2. YOLOv5 model:
Download the yolov5 repo from the github repository. The download link is given below.

3. Custom data file creation:

4. Pretrained model:

5. Training:

6. Inference:

The inference results will be saved in the "run/detect/" folder.

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