SAR-DFD-2025: A High-Quality & Diverse Dry Fish Dataset from South Asia

SAR-DFD-2025 is a high-quality, large-scale dataset focused on dry fish species from South Asia. It contains diverse image samples captured under various lighting conditions, angles, and backgrounds to enhance robustness in machine learning and computer vision applications. The dataset is designed to support research in image classification, object detection, and species recognition of dry fish, contributing to advancements in food security, fisheries management, and automated seafood quality assessment.

Key Features:

High-resolution images of various dry fish species from South Asia
Captured in diverse environmental conditions to ensure dataset generalizability
Suitable for deep learning tasks such as classification, segmentation, and object detection
Annotated metadata for improved usability in research applications
This dataset serves as a benchmark for researchers working in computer vision, marine biology, and food technology, enabling novel applications in automated dry fish recognition and quality assessment.