Vision-Language Models vs Task-Specific Detectors

Problem

Can general-purpose vision-language models replace the separate, task-specific detectors usually built for each computer vision problem?

Approach

• Evaluated VLMs on object detection, segmentation, age & gender classification, crowd analysis and action recognition
• Curated and annotated RGB and depth datasets with structured preprocessing, labeling and quality validation
• Benchmarked and fine-tuned models in Python pipelines using precision / recall and IoU

Result

A standardized evaluation pipeline comparing VLMs with conventional detectors, with more consistent training data and more scalable, efficient data processing.