Advertising images and human feedback annotations across commercial categories comprise this ECCV 2024 dataset. It focuses on human-perceived reliability to improve the visual fidelity and brand alignment of synthetic marketing content.
Use Cases
- Train a reward model using the human feedback annotations and advertising images
- Benchmark generative model reliability using the provided advertising prompts and feedback
- Analyze the correlation between human feedback and visual artifacts in synthetic advertising content
Strengths
- Includes human feedback annotations for advertising image reliability
- Originates from ECCV 2024 research
- Focuses on the specific category of commercial advertising imagery