README.md

metadata

task_categories:
  - text-to-image
language:
  - en
tags:
  - text-to-image
  - diffusion
  - image-caption
  - imagefolder
  - rectified-flow
  - echo-vision
license: apache-2.0
size_categories:
  - 100K<n<1M

EchoVision-110K

A curated, copyright-filtered image–caption dataset for text-to-image research.

~110,000 image–caption pairs · max 768 px · machine-generated captions · copyright-filtered · compressed JPEG

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Dataset Summary

EchoVision-110K is a large-scale curated dataset designed for training text-to-image models. It consists of square-cropped web images paired with detailed machine-generated captions.

• Images: max side 768 px, optimized JPEG (quality 85).
• Captions: generated by Florence-2-large (<MORE_DETAILED_CAPTION>), with high-quality single-sentence captions from Qwen2-VL-2B-Instruct and BLIP fallbacks.
• Safety: a two-layer copyright filter (deterministic franchise/brand/watermark text blacklist + CLIP zero-shot visual flagging) removed logos, watermarks, and licensed-franchise content.

Usage

from datasets import load_dataset

ds = load_dataset("Maxilicious20/echo-vision-110k")
sample = ds["train"][0]
sample["image"]     # PIL.Image  (<=768px)
sample["caption"]   # str