RefCOCOg
RefCOCOg is a referring expression comprehension benchmark that evaluates spatial grounding in images. Given a natural language expression describing an object, the model must localize the correct region, evaluated by accuracy at a 0.5 IoU threshold. It features longer, more descriptive expressions than RefCOCO and RefCOCO+.
Nova 2 Omni from Amazon currently leads the RefCOCOg leaderboard with a score of 0.863 across 1 evaluated AI models.
What RefCOCOg measures
RefCOCOg is a multimodal benchmark that evaluates large language models on multimodal, grounding, and vision tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.9, with the leader reaching 0.9.
Compare leaders on the best AI for multimodal, best AI for grounding and best AI for vision leaderboards.
Publication
- Paper
- Generation and Comprehension of Unambiguous Object Descriptions
- Authors
- Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, and 2 others
- Published
- arXiv
- 1511.02283
Abstract
We propose a method that can generate an unambiguous description (known as a referring expression) of a specific object or region in an image, and which can also comprehend or interpret such an expression to infer which object is being described. We show that our method outperforms previous methods that generate descriptions of objects without taking into account other potentially ambiguous objects in the scene. Our model is inspired by recent successes of deep learning methods for image captioning, but while image captioning is difficult to evaluate, our task allows for easy objective evaluation. We also present a new large-scale dataset for referring expressions, based on MS-COCO. We have released the dataset and a toolbox for visualization and evaluation, see https://github.com/mjhucla/Google_Refexp_toolbox
Nova 2 Omni leads with 86.3%.
Progress Over Time
Interactive timeline showing model performance evolution on RefCOCOg
RefCOCOg Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Amazon | — | — | — |
FAQ
Common questions about RefCOCOg.
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