NightLPD-BD is a real-world nighttime vehicle license plate dataset comprising 401 images collected from urban roadside environments in Dhaka, Bangladesh. The dataset includes manually annotated license plate regions using both bounding box and polygon segmentation annotations, provided in YOLO, COCO JSON, and Pascal VOC formats. It is organized into training, validation, and testing subsets (70:15:15) and is intended to support the development and evaluation of deep learning models for license plate detection, instance segmentation, and Automatic License Plate Recognition (ALPR) under challenging low-light conditions.
This dataset includes a corpus of the Bengali language for idiom identification and sequence tagging, in which idioms are identified using token-based BIO tagging. The dataset contains 30,100 sentences covering both idiomatic and non-idiomatic usages across diverse contexts. Ther…
This dataset provides directional, vehicle-class-wise traffic counts derived from real-time CCTV footage recorded at three signalized intersections in Pune, Maharashtra, India — Alankar Chowk, Jehangir Chowk, and RTO Chowk — over a continuous seven-day period from 11 to 18 Januar…
This dataset presents a curated collection of high-resolution wheat seed images developed to advance automated quality assessment in agricultural grain inspection. Captured at the individual seed level, the dataset enables fine-grained classification between healthy seeds and mul…
This dataset contains responses from a structured questionnaire-based survey designed to investigate the relationship between automation/technology dependency and physical fitness decline among university undergraduate students in Bangladesh. The survey was administered as a bili…
This deposit contains the complete extraction dataset, analysis code, intermediate results, and figure-generation pipeline supporting a quantitative research synthesis of supercapacitor electrodes derived from banana biomass residues (peel, pseudostem, bract, leaf, and fibre). Th…