You will get a custom YOLOv8 object detection model trained on your dataset
Project details
I'll train a custom YOLOv8 model on your image or video dataset and deliver a working inference pipeline. I've built a retail crowd analytics system using this exact stack — detecting and tracking people across camera zones in real time. You provide the dataset, I handle the rest. Deliverables include model weights, inference script, and a short demo video.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Rithish
Computer Vision Engineer | YOLOv8 Python Object Detection | AI and ML
Kolkata, India - 2:43 am local time
Steps for completing your project
After purchasing the project, send requirements so Rithish can start the project.
Delivery time starts when Rithish receives requirements from you.
Rithish works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Review
Analyze the provided dataset, check image quality, class distribution and label format.
Model Training
Train YOLOv8 on your dataset with optimal hyperparameters. Run validation to track accuracy.