Un répertoire organisé d'ensembles de données open source de haute qualité pour l'IA et l'apprentissage automatique. Découvrez le standard de référence des données pour entraîner vos modèles en vision par ordinateur, NLP, et plus encore.
ModelScope est une communauté et une plateforme de modèles d'IA open source, offrant une vaste bibliothèque de modèles et de jeux de données. Elle fournit un écosystème "Modèle en tant que Service" (MaaS) avec des outils pour faciliter l'entraînement, l'inférence et le développement d'applications, soutenu par des ressources de calcul gratuites.
Aperçu du produit
dataset.gold Aperçu du produit
Un répertoire organisé d'ensembles de données open source de haute qualité pour l'IA et l'apprentissage automatique. Découvrez le standard de référence des données pour entraîner vos modèles en vision par ordinateur, NLP, et plus encore.
ModelScope Aperçu du produit
ModelScope est une communauté et une plateforme de modèles d'IA open source, offrant une vaste bibliothèque de modèles et de jeux de données. Elle fournit un écosystème "Modèle en tant que Service" (MaaS) avec des outils pour faciliter l'entraînement, l'inférence et le développement d'applications, soutenu par des ressources de calcul gratuites.
Detailed feature comparison
| Feature | dataset.gold | ModelScope |
|---|---|---|
| Catégorie principale | Jeux de données | Hub de modèles |
| Ajouté | 2025-08-04 | 2025-08-03 |
| Tarification | Gratuit | Freemium |
| Site officiel | dataset.gold | modelscope.cn |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 3.4K | 2.9M |
| Croissance mensuelle | Non vérifié | -26.3% |
| Favoris | 118 | 114 |
| Details | Voir les détails | Voir les détails |
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
ModelScope monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 2.8M Visites mensuelles
- 2026/2: 2.6M Visites mensuelles
- 2026/3: 3.5M Visites mensuelles
- 2026/4: 4M Visites mensuelles
- 2026/5: 2.9M Visites mensuelles
Principales régions
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 |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 83.92% | 2.5M |
| Référence | 16% | 468.1K |
| 0.08% | 2.3K |
Mots-clés
Usage comparison
Compare the core capabilities of dataset.gold and ModelScope
dataset.gold Core features
ModelScope Core features
Use cases
dataset.gold Use cases
ModelScope Use cases
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 “Jeux de données”, while ModelScope is primarily listed under “Hub de modèles”, 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: Jeux de données; ModelScope: Hub de modèles); 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: Recherche; shared tags: vision par ordinateur, NLP et 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 Jeux de données, Apprentissage automatique, Formation IA, Collecte de données, science des données, Jeu de données, Outils pour développeurs et apprentissage automatique; ModelScope's are Hub de modèles, Low-Code No-Code, Communauté IA, Développement de l'IA, Alibaba, Réglage fin, Grands modèles linguistiques et 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 “Jeux de données” and especially Jeux de données, Apprentissage automatique, Formation IA, Collecte de données, science des données et Jeu de données. 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 “Hub de modèles” and especially Hub de modèles, Low-Code No-Code, Communauté IA, Développement de l'IA, Alibaba et Réglage fin. 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.




