<b>BDryFish:</b> An Image Dataset for Dried Fish Classification in Bangladesh

<b>BDryFish</b> is a curated image dataset comprising 5,874 high-quality images of dried fish from <b>22 distinct species</b> commonly found and consumed in Bangladesh. Each species is represented in two packaging formats — <b>Single</b> (individual fish) and <b>Bulk</b> (grouped fish) — to capture real-world variability in fish presentation. The dataset is designed to support <b>AI and computer vision research</b>, particularly in areas such as:Fish species classificationAgricultural and fisheries product recognitionFood packaging and supply chain monitoringObject detection and segmentation<b>Dataset Summary:</b><b>Total images:</b> 5,874<b>Single images:</b> 3,026<b>Bulk images:</b> 2,848<b>Fish categories:</b> 22 species × 2 formats (Single, Bulk)<b>Formats:</b> Standard image files (e.g., JPEG/PNG)<b>Fish Species Examples:</b>Banded GouramiBombay DuckHilsaGiant Largehead HairtailIndo-Pacific King MackerelSun-Dried Swamp BarbWhite Sardinella<br>...and more.<b>Use Cases:</b>This dataset is ideal for building <b>image classification models</b>, training <b>deep learning pipelines</b>, evaluating <b>transfer learning architectures</b> (e.g., MobileNet, EfficientNet), and conducting <b>domain-specific research</b> in fishery management and food safety.