SPUH/DLEBench
DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model ๐ Introduction DeepLookEditBench (DLEBench) is the first specialized benchmark dedicated to assessing the capabilities of Instruction-based Image Editing Models (IIEMs) in editing small-scale objects. While existing benchmarks focus on global or large-scale changes, DLEBench targets precise local editing where objects occupy only 1%โ10% of the total image area. The benchmarkโฆ See the full description on the dataset page: https://huggingface.co/datasets/SPUH/DLEBench.
| Author / organization | SPUH |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 944 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 25 February 2026 |
| Last updated at source | 3 April 2026 |
Recent changes
- 16 Oct 2026 Description: DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model ๐ Introduction DeepLookEditBench (DLEBench) is the first specialized benchmark dedicated to assessing the capabilities of Instruction-based I โ DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model ๐ Introduction DeepLookEditBench (DLEBench) is the first specialized benchmark dedicated to assessing the capabilities of Instruction-based I
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