Object Detection Starter Project
Train and package an object detection workflow with boxes, thresholds, and evaluation.
A computer vision starter project for learners who want to move from object detection concepts to a usable training and inference workflow with dataset notes, threshold tuning, NMS explanation, and evaluation guidance.
Price: $29. Difficulty: Intermediate. Estimated completion time: 6-9 hours.
What is included
- Detection UI scaffold
- Inference API skeleton
- Dataset notes
- Evaluation checklist
- Deployment notes
Tech stack
- Python
- OpenCV
- PyTorch or Ultralytics placeholder
- FastAPI
- React
- COCO-style labels
- Docker-ready structure
Learning outcomes
- Understand object detection outputs and metrics
- Build an inference flow that displays boxes and confidence
- Tune thresholds for false positives and false negatives
- Prepare a vision project demo for a portfolio