Visual Data Practice (self-directed)
Performed scene interpretation and visual content labeling from public datasets to improve object identification and narrative sequencing skills. Applied quality-oriented annotation guidelines to ensure consistent outputs across multimodal visual samples. Focused on capturing subtle visual cues such as emotions or lighting variations in short videos. • Labeled visual scenes and objects following predefined guidelines • Validated output consistency against annotation standards • Practiced narrative sequencing across video frames/segments • Trained attention to fine-grained visual indicators (emotion, lighting)