
Developed the initial foundation for an Object Recognition System by setting up the AabidMK/Object-Recognition-System__Infosys_Internship_Feb2025 repository and establishing a reproducible workflow for early-stage data exploration. Focused on data analysis and exploratory data analysis (EDA), the work centered around creating a Jupyter Notebook dedicated to the COCO dataset, enabling structured experimentation and providing a baseline for future model validation. The project included repository scaffolding, version control setup, and the definition of project goals and milestones, laying the groundwork for subsequent feature development. This approach facilitated rapid iteration and ensured that future model-building efforts would be data-driven and organized.
February 2025: Established foundation for the Object Recognition System by initializing the project and creating a COCO-focused EDA notebook, enabling early data exploration and a reproducible baseline for rapid feature development and model validation.
February 2025: Established foundation for the Object Recognition System by initializing the project and creating a COCO-focused EDA notebook, enabling early data exploration and a reproducible baseline for rapid feature development and model validation.

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