NHR-Edit is an image editing dataset released by SALUTEDEV in 2025. The related paper results are "NoHumansRequired: Autonomous High-Quality Image Editing Triplet Mining", which aims to support the training of general image editing models that can follow diverse natural editing instructions.

The dataset contains 286,608 unique source images and 358,463 image edit triplets (input image, natural language editing instruction, corresponding edited image). Each example also contains additional metadata such as edit type, style, and image resolution, making it suitable for training fine-grained and controllable image editing models.