Yolov7 focuses on detecting and identifying objects in images without setting up a computer-vision environment. It is catalogued under Computer vision, OCR & document AI on PulseGate.

Yolov7 is a consumer product built for developers and computer-vision practitioners.

What platforms does Yolov7 run on?

Yolov7 runs on the web and embeddable surfaces.

Is Yolov7 still maintained?

Unverified. Yolov7 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 Yolov7?

Similar projects tracked by PulseGate include Yolov6, Yolov10, and YOLOv10 Web.

Yolov7 is developed by akhaliq.

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Yolov7

Name: Yolov7
Author: akhaliq

huggingface.coComputer vision, OCR & document AI

Yolov7 is a browser-based Gradio application that runs YOLOv7 object-detection models on uploaded images. Users select a model and receive an annotated image with detected objects, making it suitable for experimenting with real-time computer vision.

FreeGPL-3.0WebEmbeddableCloud-managed

Visit huggingface.co

14.1kstars

4.3kforks

1alternative

5features

2022since

Overview

5 features

In the Computer vision, OCR & document AI space, Yolov7 takes a focused approach. It focuses on detecting and identifying objects in images without setting up a computer-vision environment. Yolov7 is a consumer product aimed at developers and computer-vision practitioners. Yolov7 costs nothing to use. It runs on the web and embeddable surfaces.

Behind Yolov7 is akhaliq, and it first shipped in 2022. Development happens publicly on GitHub with 14.1k stars. Among its 5 catalogued features are image upload, model selection, and object detection.

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

Image upload
Model selection
Object detection
Annotated output
Example images

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserEmbeddableCloud-managed

Detected from

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

Trust & compliance

License

GPL-3.0

Verified signals

HTTPSFree tierGitHub · ★ 14.1k

Indexing history

What PulseGate has recorded for this listing

Indexed5 Sept · 05:01 UTC
akhaliq/yolov7 verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about Yolov7

What does Yolov7 do?: Yolov7 focuses on detecting and identifying objects in images without setting up a computer-vision environment. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who is Yolov7 for?: Yolov7 is a consumer product built for developers and computer-vision practitioners.
Does Yolov7 have a free plan?: Yes — Yolov7 is free to use.
What platforms does Yolov7 run on?: Yolov7 runs on the web and embeddable surfaces.
Is Yolov7 still maintained?: Unverified. Yolov7 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 Yolov7?: Similar projects tracked by PulseGate include Yolov6, Yolov10, and YOLOv10 Web.Yolov6 Yolov10 YOLOv10 Web
Who makes Yolov7?: Yolov7 is developed by akhaliq.
How long has Yolov7 been around?: Yolov7 first shipped in 2022.

At a glance

Platforms: Web
Languages: English
Open source: Yes · ★ 14.1k
License: GPL-3.0
Built for: developers and computer-vision practitioners
Model: B2C
Solves: Detecting and identifying objects in images without setting up a computer-vision environment.

Registered as

GitHub: WongKinYiu/yolov7
Hugging Face Spaces: akhaliq/yolov7

Developer

akhaliq

Community-driven

GitHub

Open source

View on GitHub

Stars: 14,141
Forks: 4,350
Open issues: 1,567
Last commit: 19 Aug 2024
Commits 90d: 0
Contributors: 29
Authorship: Community-driven
Default branch: main

Index record

Indexed: 5 Sept 2026
Lifecycle: Alive
Last seen: 5 Sept 2026

Identity audit (13)

Slug: akhaliq-yolov7-huggingface-co
Lifecycle state recorded: 5 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 5 Sept 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: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 5 Sept 2026
Canonical URL: https://huggingface.co/spaces/akhaliq/yolov7

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