I will develop yolov8 object detection and segmentation models

I'm Bhavya, a Data Science grad student in NYC specializing in computer vision pipelines using YOLOv8, PyTorch, and OpenCV. I build systems that work in production not just demo scripts.

My last YOLOv8 project: mAP50: 0.995 | Precision: 0.998 | Recall: 1.00

What I can detect/segment:

• Products, defects, or anomalies (manufacturing/QA)
• People, vehicles, or objects (surveillance/safety)
• Medical or scientific imagery
• Custom classes if you can label it, I can train it

What you'll get:

• Trained model weights (.pt file)
• Full validation report (mAP, Precision, Recall, Confusion Matrix)
• Inference script (Python) run predictions on new images instantly
• Clean documentation so you can actually use what I deliver

Standard & Premium also include:

• Manual annotation via LabelMe/Roboflow
• Streamlit app for real-time inference
• Deployment guidance

Before ordering: Message me with your dataset size, number of classes, and what you're trying to detect. I'll tell you honestly which package fits.

Let's build something that actually works.