Starter Detection
YOLOv8 model training on small dataset with model file and basic evaluation
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5 Days
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I will build a custom object detection model using yolov8
Basic
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Starter Detection
YOLOv8 model training on small dataset with model file and basic evaluation
Delivery Time
5 Days
Package Includes: see all
Basic
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Standard
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Premium
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Service details
Are you looking for a reliable object detection solution using YOLOv8? I will train a custom YOLOv8 model on your dataset and deliver accurate, production-ready results tailored to your specific use case.
What you will get:
- Trained the YOLOv8 model on your custom dataset
- Data preprocessing and annotation support
- Model evaluation with mAP score report
- Clean and well-commented Python code
- GitHub repository link with full source code
- Working demo or test script for your model
- Step-by-step instructions to run the model
Why choose me:
I have built a real Construction and Demolition Waste Detection model using YOLOv8 achieving mAP50 of 70.93 percent. This was a complex multi-class detection project trained on a custom labeled dataset. I understand how to handle real-world data challenges including class imbalance, poor lighting, and overlapping objects.
I also have experience with image classification achieving a perfect score of 1.00 on Kaggle using ResNet50. This proves my ability to build high accuracy deep learning models.
Every delivery includes clean code, a GitHub repository, and a working demo so you can test the model immediately.
Who is this for:
- Business owners needing product or safety detection
- Researchers building computer vision datasets
- Developers who want a trained model for their app
Requirements from you:
- Labeled dataset or raw images with class names
- Description of what objects need to be detected
Lets build something great together!
Key details
- Service TypeModel TrainingModel Deployment
- Platform / FrameworkScikit-LearnPytorchKeras
- Tech Stack / ToolsJupyterWeights & Biases
- Programming LanguagePython
Special note from freelancer
I deliver clean, well-documented code with every project. Real project experience with YOLOv8 achieving mAP50 of 70.93 percent. Your satisfaction is my priority.
FAQs
Do I need to provide a labeled dataset?
Yes, a labeled dataset is preferred. If you have raw images, I can guide you on how to label them or do basic annotation for an additional charge.
What format will the trained model be delivered in?
Can you work on any type of object detection project?
Om Sahu
About Om Sahu
Machine Learning Developer |Python Developer |AI Developer
I am Om Sahu, a BCA AI student at LNCT Bhopal specializing in Machine Learning and Computer Vision. Projects delivered: YOLOv8 Object Detection with mAP50 score of 70.93 percent Image Classifier with Perfect Score 1.00 on Kaggle Multi Disease Prediction App using SVM and Streamlit Every delivery includes clean code, GitHub repo, and working demo.
I am Om Sahu, a BCA AI student at LNCT Bhopal specializing in Machine Learning and Computer Vision. Projects delivered: YOLOv8 Object Detection with mAP50 score of 70.93 percent Image Classifier with Perfect Score 1.00 on Kaggle Multi Disease Prediction App using SVM and Streamlit Every delivery includes clean code, GitHub repo, and working demo.
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