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DataStoa

Tavnit Vision Data

Demo listing

Rights-cleared image, video and synthetic data for computer vision

Labelled images
1.4M
Video hours
9,500

Data from Tavnit Vision Data

3 published listings.

Retail shelf and product images with bounding-box labels

1.4 million grocery and pharmacy shelf photos from Israel and Europe, labelled with SKU-level bounding boxes, price tags and out-of-stock gaps for shelf analytics models.

Image datasets Free sampleDemo listing
Coverage
5 countries
History
Since 2020
Refresh
Monthly
Delivery
Amazon S3 +2
from $0.40 per labelled image
Published 2026-09-04

Synthetic tabular and image data generation

Synthetic tables trained on your data inside your own cloud, or rendered images from 3D assets, delivered with fidelity scores and privacy test results for each dataset.

Synthetic dataData service Free sampleDemo listing
Coverage
Global
History
Since 2019
Refresh
On request
Delivery
Amazon S3 +3
from $15,000 per tabular dataset project
Published 2026-09-02

Dashcam driving video with faces and plates blurred

9,500 hours of urban and highway dashcam video from Israel and Europe with faces and licence plates blurred, tagged by weather, lighting, road type and driving events.

Video datasets Free sampleDemo listing
Coverage
5 countries
History
Since 2021
Refresh
Monthly
Delivery
Amazon S3 +2
from $45.00 per video hour
Published 2026-09-03

About Tavnit Vision Data

Tavnit Vision Data captures and labels images and video for computer vision teams, working with retail and fleet partners under written agreements. It also generates synthetic datasets when real data is scarce or too sensitive to share.

Data sources and methods

Where the data comes from
Store-shelf photography under agreements with retail operators, dashcam footage from consenting fleet operators, and Tavnit's own synthetic generators and 3D asset library.
How it is collected
Controlled capture with partner permission, automatic face and licence-plate blurring with human verification, and bounding-box and polygon labelling by trained annotators.
What sets it apart
Each asset carries a rights record and capture metadata, and blurring is verified by a second annotator before release.

Use cases

What the provider licenses its data for, and what it does not allow.

Intended uses

Training and evaluating object detection, shelf analytics, driver-assistance perception and synthetic augmentation.

Not allowed

Facial recognition, re-identification of people or vehicles, and surveillance applications.

DataStoa's acceptable use policy applies on top: no re-identification, discrimination, surveillance or sanctioned uses.

Compliance and security

Provider-reported. Ask for certificates or a data processing agreement before you sign.

Certifications

None listed

Privacy laws they comply with

  • GDPR

Integrations

Other places you can receive this provider's data, useful if your team already buys through a cloud marketplace.

  • AWS Data Exchange