dataset.gold
데이터셋 · 3.4K 월 방문
AI 및 머신러닝을 위한 고품질 오픈 소스 데이터셋의 큐레이션된 디렉토리입니다. 컴퓨터 비전, NLP 등의 모델 훈련을 위한 데이터의 황금 표준을 찾아보세요.
VS
ModelScope
모델 허브 · 2.9M 월 방문
ModelScope는 방대한 모델 및 데이터셋 라이브러리를 제공하는 오픈 소스 AI 모델 커뮤니티 및 플랫폼입니다. 무료 컴퓨팅 리소스가 지원되는 '서비스형 모델'(MaaS) 생태계를 통해 손쉬운 모델 훈련, 추론 및 애플리케이션 개발 도구를 제공합니다.
제품 개요
dataset.gold 제품 개요
AI 및 머신러닝을 위한 고품질 오픈 소스 데이터셋의 큐레이션된 디렉토리입니다. 컴퓨터 비전, NLP 등의 모델 훈련을 위한 데이터의 황금 표준을 찾아보세요.
Preview
ModelScope 제품 개요
ModelScope는 방대한 모델 및 데이터셋 라이브러리를 제공하는 오픈 소스 AI 모델 커뮤니티 및 플랫폼입니다. 무료 컴퓨팅 리소스가 지원되는 '서비스형 모델'(MaaS) 생태계를 통해 손쉬운 모델 훈련, 추론 및 애플리케이션 개발 도구를 제공합니다.
Preview
Detailed feature comparison
| Feature | dataset.gold | ModelScope |
|---|---|---|
| 주요 카테고리 | 데이터셋 | 모델 허브 |
| 등록일 | 2025-08-04 | 2025-08-03 |
| 가격 | 무료 | 프리미엄 |
| 공식 사이트 | dataset.gold | modelscope.cn |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 3.4K | 2.9M |
| 월 성장률 | 확인되지 않음 | -26.3% |
| 즐겨찾기 | 118 | 114 |
| Details | 상세 보기 | 상세 보기 |
dataset.gold vs ModelScope monthly traffic
Compare dataset.gold and ModelScope by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the dataset.gold vs ModelScope monthly traffic comparison, dataset.gold currently shows 3.4K visits and ModelScope shows 2.9M; ModelScope has about 862.8 times the visible traffic of dataset.gold, an absolute difference of about 2.9M visits. This reflects visible reach, not feature quality or paid users.
Only ModelScope has complete third-party traffic details; dataset.gold uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
dataset.gold monthly traffic:
Latest traffic
월 방문
3.4K
ModelScope monthly traffic:
Latest traffic
월 방문
2.9M
평균 방문 시간
4:55
방문당 페이지
6.81
이탈률
35.01%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 2.8M 월 방문
- 2026/2: 2.6M 월 방문
- 2026/3: 3.5M 월 방문
- 2026/4: 4M 월 방문
- 2026/5: 2.9M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 88.58% | 2.6M |
| 🇺🇸United States | 4.98% | 145.7K |
| 🇭🇰Hong Kong | 4.52% | 132.2K |
| 🇹🇼Taiwan | 1.19% | 34.8K |
| 🇸🇬Singapore | 0.73% | 21.4K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 83.92% | 2.5M |
| 리퍼럴 | 16% | 468.1K |
| 이메일 | 0.08% | 2.3K |
검색 키워드
modelscope魔塔魔塔社区魔搭魔搭社区
Traffic-based selection guidance: ModelScope is registered under a modelscope.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ModelScope for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of dataset.gold and ModelScope
dataset.gold Core features
연구
데이터셋
머신러닝
ModelScope Core features
연구
모델 허브
로우 코드 노 코드
Use cases
dataset.gold Use cases
컴퓨터 비전
NLP
오픈 소스
AI 훈련
데이터 수집
데이터 과학
데이터셋
개발자 도구
기계 학습
연구
ModelScope Use cases
컴퓨터 비전
NLP
오픈 소스
AI 커뮤니티
AI 개발
알리바바
미세 조정
대규모 언어 모델
MaaS
모델 라이브러리
dataset.gold vs ModelScope：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth dataset.gold vs ModelScope comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. dataset.gold is primarily listed under “데이터셋”, while ModelScope is primarily listed under “모델 허브”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (dataset.gold: 데이터셋; ModelScope: 모델 허브); Pricing (dataset.gold: Free; ModelScope: Freemium); Monthly visits (dataset.gold: 3.4K; ModelScope: 2.9M); Favorites (dataset.gold: 118; ModelScope: 114); Website (dataset.gold: dataset.gold; ModelScope: modelscope.cn). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the dataset.gold vs ModelScope monthly traffic comparison, dataset.gold currently shows 3.4K visits and ModelScope shows 2.9M; ModelScope has about 862.8 times the visible traffic of dataset.gold, an absolute difference of about 2.9M visits. This reflects visible reach, not feature quality or paid users.
Only ModelScope has complete third-party traffic details; dataset.gold uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
ModelScope is registered at the modelscope.cn/home subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
ModelScope is registered under a modelscope.cn subpath, so its large visible total may include the host platform. The current data does not justify choosing ModelScope for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
dataset.gold and ModelScope currently overlap in shared categories: 연구; shared tags: 컴퓨터 비전, NLP 및 오픈 소스. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
dataset.gold's unique categories/tags are 데이터셋, 머신러닝, AI 훈련, 데이터 수집, 데이터 과학, 개발자 도구, 기계 학습 및 연구; ModelScope's are 모델 허브, 로우 코드 노 코드, AI 커뮤니티, AI 개발, 알리바바, 미세 조정, 대규모 언어 모델 및 MaaS. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
dataset.gold has no verified rating, 0 comments, 118 favorites, and 114 likes；ModelScope has no verified rating, 0 comments, 114 favorites, and 118 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate dataset.gold first
Put dataset.gold on the priority trial list when the task aligns with “데이터셋” and especially 데이터셋, 머신러닝, AI 훈련, 데이터 수집, 데이터 과학 및 개발자 도구. This follows recorded positioning and does not imply unlisted capabilities are absent.
dataset.gold also currently records: pricing is free, product type is website, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate ModelScope first
Put ModelScope on the priority trial list when the task aligns with “모델 허브” and especially 모델 허브, 로우 코드 노 코드, AI 커뮤니티, AI 개발, 알리바바 및 미세 조정. This follows recorded positioning and does not imply unlisted capabilities are absent.
ModelScope also currently records: pricing is freemium, product type is website, 2.9M monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in dataset.gold and ModelScope, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
비교 FAQ
How should I choose between dataset.gold and ModelScope?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.