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Datasets:
nyuuzyou
/
pxhere

Tasks:
Image Classification
Image-to-Text
Text-to-Image
Modalities:
Image
Text
Formats:
webdataset
Languages:
English
Size:
1M - 10M
Tags:
image
Libraries:
Datasets
WebDataset
License:
Dataset card Data Studio Files
xet
Community
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  2. README.md +91 -0
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.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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+ *.mp4 filter=lfs diff=lfs merge=lfs -text
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+ *.webm filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ pretty_name: PxHere Images
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+ size_categories:
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+ - 1M<n<10M
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+ task_categories:
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+ - image-classification
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+ - image-to-text
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+ - text-to-image
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+ - image-to-image
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+ annotations_creators:
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+ - found
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+ language:
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+ - en
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+ multilinguality:
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+ - monolingual
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+ source_datasets:
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+ - original
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: all
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+ path: pxhere-*.tar
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+ default: true
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+ tags:
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+ - image
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+ license: cc0-1.0
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+ ---
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+
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+ # Dataset Card for pxhere Images
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+
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+ ### Dataset Summary
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+ This dataset contains a large collection of high-quality photographs sourced from [pxhere.com](https://pxhere.com), a free stock photo website. The dataset includes approximately 1,100,000 images in full resolution covering a wide range of subjects including nature, people, urban environments, objects, animals, and landscapes. All images are provided under the Creative Commons Zero (CC0) license, making them freely available for personal and commercial use without attribution requirements. The dataset is organized in WebDataset format, making it suitable for large-scale machine learning applications such as image classification, image-to-text generation, and computer vision research.
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+
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+ ### Languages
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+ The dataset is primarily monolingual:
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+ - English (en): Image titles, tags are predominantly in English.
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+
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+ ## Dataset Structure
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+
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+ ### Data Files
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+ The dataset consists of:
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+ - Images and metadata organized in WebDataset format (`.tar` files)
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+ - 761 archive files, each containing about 1,000 images
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+ - File naming convention: `pxhere-000000.tar` through `pxhere-001100.tar`
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+ - Each archive contains images in their original, full resolution along with corresponding JSON metadata
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+
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+ ### Data Fields
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+ Each image in the dataset is accompanied by a JSON metadata file containing the following fields:
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+ - `image_id`: Unique identifier for the image on PxHere.com, also used as the filename.
50
+ - `download_url`: The original URL to download the image from PxHere.com.
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+ - `tags`: Array of strings representing categories and descriptive terms associated with the image.
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+ - `uploaded`: The upload date of the image in MM/DD/YYYY format.
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+ - `exif_info`: Object containing EXIF metadata from the original photo (when available):
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+ - `camera_model`: The camera used to take the photograph.
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+ - `resolution`: The image dimensions in pixels (width × height).
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+ - `aperture`: The f-stop setting used.
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+ - `focal_length`: The focal length of the lens used.
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+ - `shutter_speed`: The exposure time.
59
+ - `iso`: The ISO sensitivity setting.
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+ - `lens_details_raw`: Combined lens and exposure details.
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+
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+ ### Data Splits
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+ The dataset contains a single split:
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+
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+ | Split | Number of Examples |
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+ | :---- | ---------------: |
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+ | `train` | ≈1,100,000 |
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+
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+ Total dataset size: ≈1,100,000 entries
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+
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+ ### Data Format
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+ - Images are stored in their original format (typically JPEG) at full resolution
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+ - Each image is named according to its unique `image_id`
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+ - Metadata is stored in corresponding JSON files with the same base name as the image
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+ - All files are packaged in WebDataset format (tar archives), with approximately 1,000 images per archive
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+
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+ ## License Information
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+
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+ ### Licensing Structure
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+ All images in this dataset are distributed under the Creative Commons Zero (CC0) license, which effectively places them in the public domain. This means:
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+
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+ - No attribution is required for use
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+ - Images can be used for both personal and commercial purposes
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+ - Images can be modified and redistributed without restrictions
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+ - No royalties or payments are required for any use
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+
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+ ### CC0 License Details
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+ The Creative Commons Zero (CC0) license waives all copyright and related rights to the work worldwide. Users can copy, modify, distribute, and perform the work, even for commercial purposes, without asking permission.
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+
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+ For detailed information about the CC0 license, please refer to:
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+ [https://creativecommons.org/publicdomain/zero/1.0/](https://creativecommons.org/publicdomain/zero/1.0/)
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