An image-caption dataset

This is an image–caption dataset comprising 30k images, 210k captions, and 304k bounding box annotations, designed to support Video Analytics Research and Applications. It contains real-world images depicting activities and events relevant to surveillance, public safety, and abnormal behavior detection. Contents: 30,000 images 210,000 captions (seven captions per image) 304,043 bounding box annotations (multiple bounding boxes per image) File Formats: Images: PNG, JPG, JPEG Bounding Boxes: TXT Captions: CSV The dataset is intended for: Vision–Language Modeling Real-time Object Detection Model Development Text-based Image Retrieval for Video Analytics Multimodal Reasoning