Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.

Gallery

Contacts

411 University St, Seattle, USA

engitech@oceanthemes.net

+1 -800-456-478-23

Development Technology

Train a Custom Object Detection YOLO (YOLOv5) model using local machine or GCP



Hello!
In this video I have a shown a simple procedure of how to train a YOLOv5 model on your custom dataset using GCP (Google Cloud Platform) or your local machine.

Dataset Link – https://universe.roboflow.com/isadindrasta/animal-detection-2hydp
LabelImg Repo link – https://github.com/HumanSignal/labelImg
YOLOv5 Repo link – https://github.com/ultralytics/yolov5

Chapters
0:00 Introduction
0:40 Download dataset
2:00 Folder Structure
3:52 Install miniconda (without admin privilege)
6:02 Install & Setup LabelImg
12:38 Annotate Images
18:04 Create Jupyter Notebook in GCP
22:49 Setup Training notebook
26:19 Train the YOLOv5 Model
32:21 Validate the YOLOv5 Model
36:49 Test/Detect using YOLOv5 Model
40:48 Use-case discussion
41:22 Outro

Apologies for the background noises, my microphone was throwing tantrums so had to use the default mic 😄

#yolov5 #yolo #objectdetection #customobjectdetection #gcp #labelimg

source

Author

MQ

Leave a comment

Your email address will not be published. Required fields are marked *