Image Annotation for Object Detection in Traffic Scenes
ImageBounding Box
Worked on annotating traffic scene images for training computer vision models used in autonomous driving and smart traffic systems. The task involved drawing precise bounding boxes around objects such as vehicles, pedestrians, traffic lights, and road signs.
Ensured high-quality annotations by following strict labeling guidelines and maintaining consistency across datasets. Handled edge cases like occlusions, overlapping objects, and low-light images.
Gained hands-on experience with annotation tools like CVAT and LabelImg, and developed a strong understanding of dataset preparation, quality control, and model training requirements.
Worked on annotating traffic scene images for training computer vision models used in autonomous driving and smart traffic systems. The task involved drawing precise bounding boxes around objects such as vehicles, pedestrians, traffic lights, and road signs. Ensured high-quality annotations by following strict labeling guidelines and maintaining consistency across datasets. Handled edge cases like occlusions, overlapping objects, and low-light images. Gained hands-on experience with annotation tools like CVAT and LabelImg, and developed a strong understanding of dataset preparation, quality control, and model training requirements.
2025 - 2025