Generating a Dataset for Detection and Extraction of Camera-Inserted Dates from Images

• These data offer a standardized dataset for evaluating the camera inserted date-stamp images and developing a mechanism to detect and recognize the date-stamp for filtering or sorting the images with in a short period which makes people life more easier and comfortable.
• Researchers in fields such as image processing, machine learning, and data analytics can leverage these data to explore new methodologies for date stamp extraction and enhance accuracy in date-based image retrieval. Besides, general people will find their target images by using the mechanism which includes camera inserted date-stamp feature.
• The dataset supports the development of automated tools and software applications aimed at organizing and searching large collections of images based on camera inserted date-stamp, improving efficiency in image management and retrieval tasks.

To collect data, I traveled to various locations, including Rajshahi, Dhaka, Sirajganj, and Natore, to capture images of class notes, buildings, nature, homes, dresses, consumables, rivers, and more. These images were taken at different times of the day and night, across various dates, using devices such as Redmi Note 5 Pro, Redmi Note 7 Pro, and Samsung Galaxy A14 and some different format date of images for example (2024/03/11 or 12/23/2019 or 12 08 2019 or 5 april 2024). . This diverse dataset ensures variability in lighting, environments, and subjects.
Contributes to data collection with 65% of photos captured during the day and 35% captured at night. This approach utilizes the strengths of each device to ensure comprehensive photo documentation across different lighting conditions.
The main purposes of the data are given in the below
1. Detection and Extraction date from images
2. Searching target images according to date