Python Object Detection Prototype

I’m building a small-scale image-processing project in Python and need help setting up reliable object-detection code. Before awarding the full job I’d like to see a brief proof-of-concept: a free test run on three sample images that I will provide. Here’s what I expect in that test: • A short script (Python 3.x) that loads each image, runs your preferred detection model (OpenCV, TensorFlow, PyTorch or similar), and draws bounding boxes around the detected objects. • The resulting images saved locally plus a concise console or JSON summary of the detections. • Clear, reproducible setup instructions (requirements.txt or environment.yml) so I can run the test on my machine. If the test meets accuracy and clarity standards, we’ll move straight into expanding the pipeline—refining the model, improving speed, and integrating the code into a larger repository. Feel free to choose the framework you know best; I’m open as long as the results are accurate and the code is cleanly documented.