Data Annotator for AI-Based Cricket Highlight Reel Generator (FYP)
CVATImageBounding Box
I trained a custom YOLOv8 model using CVAT-annotated image data focusing on scoreboard and player detection in cricket videos. This project involved creating accurate bounding box labels to enable robust computer vision detection for highlight generation. I organized, preprocessed, and manually annotated the dataset before model training.
• Labeled images with bounding boxes for cricket scoreboard and player identification.
• Used CVAT and Roboflow as primary annotation and preprocessing tools.
• Ensured high-quality annotation through iterative review cycles.
• Contributed to the end-to-end development of an AI-based sports video solution.
I trained a custom YOLOv8 model using CVAT-annotated image data focusing on scoreboard and player detection in cricket videos. This project involved creating accurate bounding box labels to enable robust computer vision detection for highlight generation. I organized, preprocessed, and manually annotated the dataset before model training. • Labeled images with bounding boxes for cricket scoreboard and player identification. • Used CVAT and Roboflow as primary annotation and preprocessing tools. • Ensured high-quality annotation through iterative review cycles. • Contributed to the end-to-end development of an AI-based sports video solution.
2023 - 2024