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Dataset By Humans
Corner snack store with large red and white Vietnamese signs, slogans and a hotline number, with street traffic below

About this image

A two-storey corner store wrapped in red and white signage with the brand name, a Vietnamese slogan ('Thương hiệu ăn vặt toàn cầu'), a hotline and curved text around the corner, above a busy street.

  • storefront
  • brand sign
  • slogan
  • hotline
  • curved text

What you receive

  • Full-resolution original (4,032 × 2,268 px HEIC) and a high-quality JPEG
  • One-line metadata.jsonl record with device, exposure and labels
  • License certificate in your organisation's name
  • The same privacy blurring as the preview, applied at full resolution

Original file

Original format
HEIC
Original resolution
4,032 × 2,268 px (9.1 MP)
Orientation
Landscape
Device
Apple iPhone 11
Lens
iPhone 11 back dual wide camera 4.25mm f/1.8
Exposure
1/121s · f/1.8 · ISO 64
Focal length (35 mm equiv.)
26 mm
Captured
February 2026
Location
Ho Chi Minh City, Vietnam (city/province level)

Provenance

  • Original photo taken by a person on an iPhone 11.
  • No generative AI, upscaling or compositing. Only privacy blurring has been applied.
  • Not scraped or sourced from stock libraries.

Privacy

  • 7 regions blurred by hand (faces, license plates, personal phone numbers).
  • No identifiable people: a model release is not required.
  • GPS coordinates and the exact capture time are removed; location is given at city/province level only.

Trademarks & property

  • Shot from public places. Visible buildings, signs and brand names are part of the scene.
  • The license covers this photograph. It does not grant rights to any trademark, logo or brand shown in it.

License terms

  • Training use allowed per tier; you keep models trained on the image.
  • No redistribution or resale of the image file itself.
  • Full terms: licensing, terms of service. Removal requests: takedown.
On requestPart of a bundle

Vietnamese Scene Text Image Dataset for OCR

Real shop signs, menus, banners and street notices in Vietnamese, full of diacritics, mixed fonts and imperfect lighting.

Need hundreds or thousands of images like this one? The bundle is far cheaper per image and can be collected to your exact specification. Typically 2–3 weeks for 1,000 images; transcriptions add time.

More from this bundle

  • Bilingual parking sign reading 'Toà/Building BS11 BS12' with an EV charging station sign, in front of high-rise apartments
  • Night street view of a print and photocopy shop with large Vietnamese signs reading 'Nhà in - Photocopy Nam Dũng' and parked motorbikes
  • Shopfront of a home-appliance company with dense Vietnamese signage, neighbouring food shop signs and motorbikes on the pavement

Buying a single image

What file do I receive?

The full-resolution original (4,032 × 2,268 px HEIC, plus a high-quality JPEG) with the same privacy blurring applied, a one-line metadata.jsonl record and a license certificate in your name.

Is the preview on this page the same as the file I buy?

The preview is the same photo reduced to 1,200 px and recompressed for the web. The file you buy is the full-resolution original.

Can I use this image to train a commercial model?

Yes, with the Commercial or Exclusive license. You keep models trained on it even if the license later ends. The Research license is limited to non-commercial use.

Can I still buy an Exclusive license if others already licensed this image?

No. Exclusive is only offered for images that have never been licensed, because licenses already sold stay valid. Once an Exclusive license is sold, the image is removed from our catalog and future bundles.

Do I get a better price if I buy the whole bundle?

Yes. The Vietnamese Scene Text bundle is licensed as a set and can be collected to your specification, which costs far less per image. Request a bundle quote from the dataset page.

What happens if someone requests removal of this image?

If a valid takedown request is received, we provide an updated version and the license requires you to stop using the removed image going forward.