Hugging Face Datasets
metadata only
zzliang/GRIT
GRIT: Large-Scale Training Corpus of Grounded Image-Text Pairs Dataset Summary We introduce GRIT, a large-scale dataset of Grounded Image-Text pairs, which is created based on image-text pairs from COYO-700M and LAION-2B. We construct a pipeline to extract and link text spans (i.e., noun phrases, and referring expressions) in the caption to their corresponding image regions. More details can be found in the paper. Supported Tasks During the construction, we…
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation#1014830
- DAMO-NLP-SG/multimodal_textbook#786915
- TidyBot: Personalized Robot Assistance with Large Language Models#328731
- Transformer Explainer: Interactive Learning of Text-Generative Models#190335
- PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model#130742
Record · ID 786922
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive