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Six image datasets derived from laboratory flotation videos, designed to study the impact of data leakage on deep learning model reliability. The datasets were created by Chunlong Zhang and published on figshare in May 2026. They were used to train and test five deep learning models, including Inception-V3 and Vision Transformer, for flotation concentrate ash recognition.
Primary data file is in DOCX format (13.3 MB), which may require conversion or specific tools for image data extraction.