You will get your dataset annotated in YOLOv8 format
Project details
Using my custom-built YOLOv8 Annotation Tool (Python + Tkinter + OpenCV), I will manually label your images.
• YOLOv8 format annotations (.txt files)
• Clean bounding boxes for all objects
• Multiple classes
• Accurate center_x, center_y, width, height (normalized)
• Auto-generated train/images, train/labels, val/images, val/labels
• data.yaml file with class names
• YOLOv8 format annotations (.txt files)
• Clean bounding boxes for all objects
• Multiple classes
• Accurate center_x, center_y, width, height (normalized)
• Auto-generated train/images, train/labels, val/images, val/labels
• data.yaml file with class names
Machine Learning Tools
OpenCV, PythonWhat's included $5
These options are included with the project scope.
$5
- Delivery Time 1 day
- Number of Revisions 0
- Number of Model Variations 0
- Number of Scenarios 0
- Number of Graphs/Charts 0
About Vandit
Programming Lover
New Delhi, India - 5:21 pm local time
Steps for completing your project
After purchasing the project, send requirements so Vandit can start the project.
Delivery time starts when Vandit receives requirements from you.
Vandit works on your project following the steps below.
Revisions may occur after the delivery date.
Client shares the dataset and annotation requirements
The client provides images and/or videos, class names and any reference examples.
I annotate the dataset using professional tools
I label all the objects using YOLOv8 Annotation Tool (Python + Tkinter + OpenCV).