DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

1. 1Build a dataset of images with small objects to test editing models
2. 2Run DLEBench to evaluate the performance of Instruction-based Image Editing Models
3. 3Configure the evaluation metrics to focus on small-scale object editing
4. 4Test the models on various editing tasks
5. 5Apply the insights from DLEBench to improve the models' editing ability

Computer vision engineers and researchers on a team benefit from this knowledge as it helps them improve the performance of image editing models, especially for refining details in images

💡 DLEBench helps assess the ability of image editing models to edit small objects, a crucial aspect of precise image editing

📸 Evaluate small-scale object editing in image editing models with DLEBench!