Quickly identifying and labeling objects in images without local setup or coding. It is catalogued under Computer vision, OCR & document AI on PulseGate.

Who should use YOLOv10 Web?

YOLOv10 Web is a consumer product built for machine learning enthusiasts.

Does YOLOv10 Web have a free plan?

Yes — YOLOv10 Web is free to use.

Is YOLOv10 Web still maintained?

Unverified. YOLOv10 Web has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to YOLOv10 Web?

Similar projects tracked by PulseGate include Yolov10, YOLOv9 Object Detection w/ Transformers.js, and YOLOv12 Demo.

Who develops YOLOv10 Web?

YOLOv10 Web is developed by Xenova.

When did YOLOv10 Web launch?

YOLOv10 Web first shipped in 2024.

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YOLOv10 Web

Name: YOLOv10 Web
Author: Xenova

huggingface.coComputer vision, OCR & document AI

YOLOv10 Web is a web-based application that enables users to upload images and automatically detect and label objects using the YOLOv10 model. The app provides annotated images with bounding boxes and labels, making it accessible for users who want fast object detection without technical setup.

FreeWebCloud-managed

Visit huggingface.co

1alternative

4features

2024since

Overview

4 features

YOLOv10 Web is a Computer vision, OCR & document AI project. Quickly identifying and labeling objects in images without local setup or coding. YOLOv10 Web is a consumer product aimed at machine learning enthusiasts. YOLOv10 Web costs nothing to use. YOLOv10 Web is available on the web.

Xenova builds and maintains YOLOv10 Web, and it first shipped in 2024. Key capabilities include object detection, image upload, and sample images.

Summary written by a language model from the project’s public pages.

Object detection
Image upload
Sample images
Bounding box visualization

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 21:51 UTC
Xenova/yolov10-web verified against its public source
Source: PulseGate · Open

Frequently asked questions about YOLOv10 Web

What is YOLOv10 Web?: Quickly identifying and labeling objects in images without local setup or coding. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who should use YOLOv10 Web?: YOLOv10 Web is a consumer product built for machine learning enthusiasts.
Does YOLOv10 Web have a free plan?: Yes — YOLOv10 Web is free to use.
What platforms does YOLOv10 Web run on?: YOLOv10 Web runs on the web.
Is YOLOv10 Web still maintained?: Unverified. YOLOv10 Web has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to YOLOv10 Web?: Similar projects tracked by PulseGate include Yolov10, YOLOv9 Object Detection w/ Transformers.js, and YOLOv12 Demo.Yolov10 YOLOv9 Object Detection w/ Transformers.js YOLOv12 Demo
Who develops YOLOv10 Web?: YOLOv10 Web is developed by Xenova.
When did YOLOv10 Web launch?: YOLOv10 Web first shipped in 2024.

At a glance

Platforms: Web
Languages: English
Built for: machine learning enthusiasts
Model: B2C
Solves: Quickly identifying and labeling objects in images without local setup or coding.

Registered as

Hugging Face Spaces: Xenova/yolov10-web

Developer

Xenova

Index record

Indexed: 10 Jul 2026
Lifecycle: Alive
Last seen: 10 Jul 2026

Identity audit (12)

Slug: xenova-yolov10-web-huggingface-co
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://huggingface.co/spaces/Xenova/yolov10-web

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