>_ Candice Cantrelle

Game Developer | AI Researcher | Neural Networks & Procedural Generation

Street Number Recognition

A case study of its development and impact.

~ Project Snapshot

Street Number Recognition Thumbnail

(Note: Placeholder image. Actual project thumbnail to be added.)

~ Problem Statement

[Placeholder for a detailed description of the problem this project aimed to solve. What were the challenges in recognizing street numbers from images? Who could benefit from this technology?]

~ My Approach & Solution

[Placeholder for a detailed explanation of the methodology and steps taken to address the problem. Describe the image processing techniques, the machine learning model used for digit recognition, and how the solution was implemented. What datasets were used for training and testing?]

~ Technologies Used

[Placeholder for listing and briefly describing the technologies, programming languages, frameworks, libraries, and tools used in this project. For example: Python, OpenCV (for image preprocessing), TensorFlow/PyTorch (for the CNN model), SVHN dataset, etc.]

~ Results & Outcomes

[Placeholder for detailing the results achieved by the project. What was the accuracy of the street number recognition? Were there any limitations? Discuss potential applications and improvements.]

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