Ein kuratiertes Verzeichnis hochwertiger Open-Source-Datensätze für KI und maschinelles Lernen. Entdecken Sie den Goldstandard an Daten für das Training Ihrer Modelle in den Bereichen Computer Vision, NLP und mehr.
ModelScope ist eine Open-Source-KI-Modell-Community und -Plattform, die eine riesige Bibliothek von Modellen und Datensätzen bietet. Es stellt ein "Model-as-a-Service" (MaaS)-Ökosystem mit Werkzeugen für einfaches Modelltraining, Inferenz und Anwendungsentwicklung bereit, unterstützt durch kostenlose Rechenressourcen.
Ein kuratiertes Verzeichnis hochwertiger Open-Source-Datensätze für KI und maschinelles Lernen. Entdecken Sie den Goldstandard an Daten für das Training Ihrer Modelle in den Bereichen Computer Vision, NLP und mehr.
ModelScope ist eine Open-Source-KI-Modell-Community und -Plattform, die eine riesige Bibliothek von Modellen und Datensätzen bietet. Es stellt ein "Model-as-a-Service" (MaaS)-Ökosystem mit Werkzeugen für einfaches Modelltraining, Inferenz und Anwendungsentwicklung bereit, unterstützt durch kostenlose Rechenressourcen.
| Feature | dataset.gold | ModelScope |
|---|---|---|
| Hauptkategorie | Datensätze | Modell-Hub |
| Hinzugefügt | 2025-08-04 | 2025-08-03 |
| Preismodell | Kostenlos | Freemium |
| Offizielle Website | dataset.gold | modelscope.cn |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 3.4K | 2.9M |
| Monatliches Wachstum | Nicht verifiziert | -26.3% |
| Favoriten | 118 | 114 |
| Details | Details ansehen | Details ansehen |
Compare dataset.gold and ModelScope by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
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.
| 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 |
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 83.92% | 2.5M |
| Verweis | 16% | 468.1K |
| 0.08% | 2.3K |
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 “Datensätze”, while ModelScope is primarily listed under “Modell-Hub”, 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: Datensätze; ModelScope: Modell-Hub); 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.
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.
dataset.gold and ModelScope currently overlap in shared categories: Forschung; shared tags: Computer Vision, NLP und Open Source. 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 Datensätze, Maschinelles Lernen, KI-Training, Datenerfassung, Datenwissenschaft, Datensatz, Entwicklerwerkzeuge und maschinelles Lernen; ModelScope's are Modell-Hub, Low-Code No-Code, KI-Community, KI-Entwicklung, Alibaba, Feinabstimmung, Große Sprachmodelle und MaaS. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
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.
Put dataset.gold on the priority trial list when the task aligns with “Datensätze” and especially Datensätze, Maschinelles Lernen, KI-Training, Datenerfassung, Datenwissenschaft und Datensatz. 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.
Put ModelScope on the priority trial list when the task aligns with “Modell-Hub” and especially Modell-Hub, Low-Code No-Code, KI-Community, KI-Entwicklung, Alibaba und Feinabstimmung. 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.
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.
