Who is CountGD_Multi-Modal_Open-World_Counting for?

CountGD_Multi-Modal_Open-World_Counting is a B2B product built for data scientists.

Is CountGD_Multi-Modal_Open-World_Counting free?

Yes — CountGD_Multi-Modal_Open-World_Counting is free to use.

What platforms does CountGD_Multi-Modal_Open-World_Counting run on?

CountGD_Multi-Modal_Open-World_Counting runs on the web. It can also be self-hosted.

Is CountGD_Multi-Modal_Open-World_Counting still active?

Unverified. CountGD_Multi-Modal_Open-World_Counting 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 are alternatives to CountGD_Multi-Modal_Open-World_Counting?

Similar projects tracked by PulseGate include Mixture Of Diffusers, SwarmUI, and DGS Diffusion Space.

Who makes CountGD_Multi-Modal_Open-World_Counting?

CountGD_Multi-Modal_Open-World_Counting is developed by nikigoli.

When did CountGD_Multi-Modal_Open-World_Counting launch?

CountGD_Multi-Modal_Open-World_Counting first shipped in 2024.

Back to the index

CountGD_Multi-Modal_Open-World_Counting

Name: CountGD_Multi-Modal_Open-World_Counting
Author: nikigoli

huggingface.coImage generation

CountGD is a web application that lets users upload images, specify objects to count via text or box annotation, and returns the total count using open-world detection. It is designed for data scientists and researchers needing automated object counting in diverse scenarios.

FreeWebSelf-hostedCloud-managed

CountGD_Multi-Modal_Open-World_Counting preview

Visit huggingface.co

Overview

5 features

In the Image generation space, CountGD_Multi-Modal_Open-World_Counting takes a focused approach. It focuses on counting specific objects in images without manual annotation or limited object classes. It is built as a B2B product for data scientists. It is available for free. It runs on the web, and it can be self-hosted.

It is developed by nikigoli, and it first shipped in 2024. Among its 5 catalogued features are object counting, multi-modal input, and box annotation.

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

Object counting
Multi-modal input
Box annotation
Open-world detection
Image upload

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserSelf-hostedCloud-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 · 21:20 UTC
nikigoli/countgd verified against its public source
Source: PulseGate · Open

Frequently asked questions about CountGD_Multi-Modal_Open-World_Counting

What does CountGD_Multi-Modal_Open-World_Counting do?: CountGD_Multi-Modal_Open-World_Counting focuses on counting specific objects in images without manual annotation or limited object classes. It is catalogued under Image generation on PulseGate.
Who is CountGD_Multi-Modal_Open-World_Counting for?: CountGD_Multi-Modal_Open-World_Counting is a B2B product built for data scientists.
Is CountGD_Multi-Modal_Open-World_Counting free?: Yes — CountGD_Multi-Modal_Open-World_Counting is free to use.
What platforms does CountGD_Multi-Modal_Open-World_Counting run on?: CountGD_Multi-Modal_Open-World_Counting runs on the web. It can also be self-hosted.
Is CountGD_Multi-Modal_Open-World_Counting still active?: Unverified. CountGD_Multi-Modal_Open-World_Counting 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 are alternatives to CountGD_Multi-Modal_Open-World_Counting?: Similar projects tracked by PulseGate include Mixture Of Diffusers, SwarmUI, and DGS Diffusion Space.Mixture Of Diffusers SwarmUI DGS Diffusion Space
Who makes CountGD_Multi-Modal_Open-World_Counting?: CountGD_Multi-Modal_Open-World_Counting is developed by nikigoli.
When did CountGD_Multi-Modal_Open-World_Counting launch?: CountGD_Multi-Modal_Open-World_Counting first shipped in 2024.

At a glance

Pricing: Free
Platforms: Web
Languages: English
Built for: data scientists
Model: B2B
Solves: Counting specific objects in images without manual annotation or limited object classes.

Registered as

Hugging Face Spaces: nikigoli/countgd

Developer

nikigoli

Live coverage

Identity confidence: High · 95
Indexed: 10 Jul 2026
Lifecycle: Unverified
Last seen: 10 Jul 2026

Identity audit (12)

Slug: nikigoli-countgd-huggingface-co
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: 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: 28 Jul 2026
Canonical URL: https://huggingface.co/spaces/nikigoli/countgd

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