datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BLIP3o-Pretrain-Long-Caption
BLIP3o Pretrain Long-Caption Dataset
This collection contains 27 million images, each paired with a long (~120 token) caption generated by Qwen/Qwen2.5-VL-7B-Instruct.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="BLIP3o/BLIP3o-Pretrain-Long-Caption",
repo_type="dataset"
)
Load Dataset without Extracting
You don’t need to unpack the .tar archives, use WebDataset support in 🤗datasets instead:
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/BLIP3o/BLIP3o-Pretrain-Long-Caption.BLIP3o-Pretrain-Short-Caption
BLIP3o Pretrain Short-Caption Dataset
This collection contains 5 million images, each paired with a short (~20 token) caption generated by Qwen/Qwen2.5-VL-7B-Instruct.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="BLIP3o/BLIP3o-Pretrain-Short-Caption",
repo_type="dataset"
)
Load Dataset without Extracting
You don’t need to unpack the .tar archives, use WebDataset support in 🤗datasets instead:
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/BLIP3o/BLIP3o-Pretrain-Short-Caption.BLIP3o-Pretrain-JourneyDB
BLIP3o Pretrain JourneyDB Dataset
This collection contains 4 million JourneyDB images.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="BLIP3o/BLIP3o-Pretrain-JourneyDB",
repo_type="dataset"
)
Load Dataset without Extracting
You don’t need to unpack the .tar archives, use WebDataset support in 🤗datasets instead:
from datasets import load_dataset
import glob
data_files = glob.glob("/your/data/path/*.tar")… See the full description on the dataset page: https://huggingface.co/datasets/BLIP3o/BLIP3o-Pretrain-JourneyDB.blip3o-256BLIP3o-JourneyDBBLIP3o-Shortwikiart_with_BLIP_captionsBLIP3o-LongWikiArt-81K-BLIP_2-768x768
WikiArt Resized Dataset
Description
This dataset contains 81,444 artistic images from WikiArt, organized into different artistic genres. The images have been resized to a uniform resolution of 768x768 pixels using LANCZOS resampling and padded to maintain aspect ratio, ensuring consistency for machine learning tasks and computational art analysis. The base for the dataset was Dant33/WikiArt-81K-BLIP_2-captions.
Enhancements
1. Image Resizing… See the full description on the dataset page: https://huggingface.co/datasets/Dant33/WikiArt-81K-BLIP_2-768x768.WikiArt-81K-BLIP_2-1024x1024
WikiArt Resized Dataset
Description
This dataset contains 81,444 artistic images from WikiArt, organized into different artistic genres. The images have been resized to a uniform resolution of 1024x1024 pixels using LANCZOS resampling, ensuring consistency for machine learning tasks and computational art analysis. The base for the dataset was Dant33/WikiArt-81K-BLIP_2-captions
Enhancements
1. Image Resizing
All images have been resized to… See the full description on the dataset page: https://huggingface.co/datasets/Dant33/WikiArt-81K-BLIP_2-1024x1024.WikiArt-81K-BLIP_2-captions
WikiArt Enhanced Dataset
Description
This dataset contains 81,444 artistic images from WikiArt, organized into different artistic genres. It has undergone several improvements and corrections to optimize its use in machine learning tasks and computational art analysis. Credits to the original author of daset go to: WikiArt
Enhancements
1. Encoding Issues Correction
Fixed encoding issues in filenames and artist information.
All filenames were renamed… See the full description on the dataset page: https://huggingface.co/datasets/Dant33/WikiArt-81K-BLIP_2-captions.pokemon-blip-captions-wdsWebdataset version of: lambdalabs/pokemon-blip-captions
BLIP3o-60k_1024h_1776w