Scene Annotation and Classification
CVATVideoBounding BoxSegmentation
The work involved segmenting long videos into distinct scenes and assigning standardized labels (e.g., environment type, activity, time of day, weather) using tools such as CVAT. I followed detailed annotation guidelines, handled edge cases consistently, and collaborated with QA and ML engineers to refine the label taxonomy, resolve ambiguities, and improve inter‑annotator agreement. The resulting labeled dataset was used to train and evaluate models for autonomous driving, security & surveillance and media content analysis, improving their accuracy and robustness in real‑world scenarios.
The work involved segmenting long videos into distinct scenes and assigning standardized labels (e.g., environment type, activity, time of day, weather) using tools such as CVAT. I followed detailed annotation guidelines, handled edge cases consistently, and collaborated with QA and ML engineers to refine the label taxonomy, resolve ambiguities, and improve inter‑annotator agreement. The resulting labeled dataset was used to train and evaluate models for autonomous driving, security & surveillance and media content analysis, improving their accuracy and robustness in real‑world scenarios.
2022 - 2023