🖼️ CrispEdit 2M CrispEdit 2M is a comprehensive dataset introduced in the paper ✨ EditMGT: Unleashing the Potential of Masked Generative Transformer in Image Editing ✨. This dataset encompasses 7 distinct image editing task categories. 🌟 Overview CrispEdit 2M is a large scale dataset specifically designed for training and evaluating image editing models. With over 2.2 million samples across 7 different editing tasks, it provides researchers with a rich resource for developing advanced image manipulation techniques. 📊 Dataset Format CrispEdit 2M contains 7 types of image editing tasks, stored in parquet files: 🏷️ Filename Prefix & Type in Parquet 📝 Type Name 🔢 Parquet Files (256 items per file) 📈 Total Samples color Color Alteration 1,984 496K motion Motion Change 128 32K style Style Change 1,600 400K replace Object Replacement 1,566 391K remove Object Removal 1,388 347K add Object Addition 1,213 303K background Background Change 1,091 272K Total 2,241K Each parquet file in the CrispEdit 2M dataset contains 256 items, making it efficiently structured for large scale image editing research. 🔍 Dataset Access The complete dataset can be accessed through the Hugging Face reposit…
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