datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LaVy-Bench-GPT4o
LaVy-Bench (with Answers 😎)
Welcome to the LaVy-Bench dataset repository!
About
We offers manually generated answers created using GPT-4, providing meaningful, detailed, and bug-free responses. Our goal is to contribute to LaVy-Bench as a significant benchmark for Vietnamese Multi-Modal and Vietnamese Large Vision Language Models in real-world scenarios.
Contribution
We aim to generate meaningful answers for questions-only datasets sourced from the original… See the full description on the dataset page: https://huggingface.co/datasets/tuanio/LaVy-Bench-GPT4o.gpt-image-edit-benchmark-results
GPT-Image-Edit — Benchmark Results
This repository contains evaluation results of GPT-Image-Edit across four standard image-editing benchmarks. All scores were computed using the official evaluation scripts provided by each benchmark.
📊 Benchmarks
Benchmark
Metrics
Folder
GEdit-EN
12 editing categories + Avg
gedit/
Complex-Edit
IF, IP, PQ, Overall
complex_edit/
ImgEdit-Full
10 editing operations + Overall
imgedit/
OmniContext
Contextual edit scores… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/gpt-image-edit-benchmark-results.GPT4V-captions-from-LVIS-typography
GPT4V-captions-from-LVIS-typography
by: Peter Bevan, 21 March 2023
This dataset is a typography subset of 220k-GPT4Vision-captions-from-LIVIS.
This dataset comprises a subset of 8,857 captioned images from the LVIS dataset. This subset was creating by selecting only image-caption pairs which contain typography that is accurately reflected in the caption.
The captions were generated by summarising the LVIS-Instruct4V dataset released by X2FD. The instructions are converted… See the full description on the dataset page: https://huggingface.co/datasets/pbevan11/GPT4V-captions-from-LVIS-typography.