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Labellerr
Operaciones de Machine Learning · 109.7K visitas mensuales

Labellerr es una plataforma de etiquetado y anotación de datos impulsada por IA, diseñada para acelerar el desarrollo de modelos de Visión, PNL y LLM. Ofrece anotación automatizada, garantía de calidad inteligente e integración MLOps perfecta para entregar etiquetas con un 99% de precisión hasta 99 veces más rápido, reduciendo significativamente el tiempo de preparación de datos y los costos de desarrollo para los equipos de IA.

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Supervised.co
Anotación de Datos · 3.5M visitas mensuales

Supervised.co es una plataforma de extremo a extremo para construir, entrenar e implementar modelos de aprendizaje automático supervisado. Simplifica el ciclo de vida de MLOps con anotación de datos integrada, entrenamiento de modelos automatizado y despliegue de API con un solo clic, capacitando a los equipos para crear soluciones de IA de alto rendimiento de manera eficiente.

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Labellerr vs Supervised.co: precios, funciones y tráfico

Compara Labellerr y Supervised.co por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

Labellerr Resumen del producto

Labellerr es una plataforma de etiquetado y anotación de datos impulsada por IA, diseñada para acelerar el desarrollo de modelos de Visión, PNL y LLM. Ofrece anotación automatizada, garantía de calidad inteligente e integración MLOps perfecta para entregar etiquetas con un 99% de precisión hasta 99 veces más rápido, reduciendo significativamente el tiempo de preparación de datos y los costos de desarrollo para los equipos de IA.

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Supervised.co Resumen del producto

Supervised.co es una plataforma de extremo a extremo para construir, entrenar e implementar modelos de aprendizaje automático supervisado. Simplifica el ciclo de vida de MLOps con anotación de datos integrada, entrenamiento de modelos automatizado y despliegue de API con un solo clic, capacitando a los equipos para crear soluciones de IA de alto rendimiento de manera eficiente.

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Detailed feature comparison

FeatureLabellerrSupervised.co
Categoría principalOperaciones de Machine LearningAnotación de Datos
Añadido2025-08-102025-08-05
PrecioFreemiumFreemium
Sitio oficialwww.labellerr.comwww.atom.com
Tipo de productoSitio webSitio web
Performance data
ValoraciónSin verificarSin verificar
Comentarios00
Visitas mensuales109.7K3.5M
Crecimiento mensual-9.9%8.9%
Favoritos139111
DetailsVer detallesVer detalles

Labellerr vs Supervised.co monthly traffic

Compare Labellerr and Supervised.co by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Labellerr vs Supervised.co monthly traffic comparison, Labellerr currently shows 109.7K visits and Supervised.co shows 3.5M; Supervised.co has about 31.7 times the visible traffic of Labellerr, an absolute difference of about 3.4M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Supervised.co is registered at the www.atom.com/name/Supervised.co 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.

Labellerr monthly traffic:

Latest traffic

Visitas mensuales
109.7K
Duración media
0:20
Páginas por visita
1.53
Tasa de rebote
45.24%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 94.5K Visitas mensuales
  • 2026/1: 138.9K Visitas mensuales
  • 2026/2: 114.4K Visitas mensuales
  • 2026/3: 117K Visitas mensuales
  • 2026/4: 121.8K Visitas mensuales
  • 2026/5: 109.7K Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States40.42%44.3K
🇮🇳India30.11%33K
🇻🇳Vietnam10.17%11.2K
🇩🇪Germany10.14%11.1K
🇳🇬Nigeria9.16%10K

Fuentes de tráfico

Source typePercentageTraffic
Directo58.09%63.7K
Referido41.91%46K

Palabras clave

claude cowork freelabeler / annotatormask2formeropus 4.6 vs 4.7opus 4.7 vs 4.6

Supervised.co monthly traffic:

Latest traffic

Visitas mensuales
3.5M
Duración media
2:05
Páginas por visita
2.83
Tasa de rebote
61.85%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 2.7M Visitas mensuales
  • 2026/2: 2.9M Visitas mensuales
  • 2026/3: 3.2M Visitas mensuales
  • 2026/4: 3.2M Visitas mensuales
  • 2026/5: 3.5M Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States62.58%2.2M
🇮🇳India12.91%449.4K
🇲🇦Morocco11.5%400.3K
🇵🇰Pakistan7.32%254.8K
🇨🇦Canada5.69%198.1K

Fuentes de tráfico

Source typePercentageTraffic
Directo92.81%3.2M
Referido5.47%190.4K
Correo electrónico1.72%59.9K

Palabras clave

atomatom appraisalcrafina.iodomainmaps
Traffic-based selection guidance: Supervised.co is registered under a www.atom.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Supervised.co for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Usage comparison

Compare the core capabilities of Labellerr and Supervised.co

Labellerr Core features

Anotación de Datos
Operaciones de Machine Learning
Etiquetado de Datos

Supervised.co Core features

Anotación de Datos
Aprendizaje Automático
No-code y Low-code

Use cases

Labellerr Use cases

anotación de datos
aprendizaje automático
MLOps
Aprendizaje activo
visión artificial
herramienta de etiquetado de datos
Preparación de datos
Etiquetado de imágenes
Modelo de Lenguaje de Gran Escala
NLP
Anotación de texto
Anotación de video

Supervised.co Use cases

anotación de datos
aprendizaje automático
MLOps
Desarrollo de IA
AutoML
ciencia de datos
Despliegue de modelo
Entrenamiento de modelo
aprendizaje supervisado

Labellerr vs Supervised.co：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Labellerr vs Supervised.co comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Labellerr is primarily listed under “Operaciones de Machine Learning”, while Supervised.co is primarily listed under “Anotación de Datos”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Labellerr: Operaciones de Machine Learning; Supervised.co: Anotación de Datos); Monthly visits (Labellerr: 109.7K; Supervised.co: 3.5M); Monthly growth (Labellerr: -9.9%; Supervised.co: 8.9%); Favorites (Labellerr: 139; Supervised.co: 111); Website (Labellerr: www.labellerr.com; Supervised.co: www.atom.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Labellerr vs Supervised.co monthly traffic comparison, Labellerr currently shows 109.7K visits and Supervised.co shows 3.5M; Supervised.co has about 31.7 times the visible traffic of Labellerr, an absolute difference of about 3.4M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Supervised.co is registered at the www.atom.com/name/Supervised.co 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.

Supervised.co is registered under a www.atom.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Supervised.co for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.

Product positioning, use cases, and roles

Labellerr and Supervised.co currently overlap in shared categories: Anotación de Datos; shared tags: anotación de datos, aprendizaje automático y MLOps. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Labellerr's unique categories/tags are Operaciones de Machine Learning, Etiquetado de Datos, Aprendizaje activo, visión artificial, herramienta de etiquetado de datos, Preparación de datos, Etiquetado de imágenes y Modelo de Lenguaje de Gran Escala; Supervised.co's are Aprendizaje Automático, No-code y Low-code, Desarrollo de IA, AutoML, ciencia de datos, Despliegue de modelo, Entrenamiento de modelo y aprendizaje supervisado. 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

Labellerr has no verified rating, 0 comments, 139 favorites, and 130 likes；Supervised.co has no verified rating, 0 comments, 111 favorites, and 111 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Labellerr first

Put Labellerr on the priority trial list when the task aligns with “Operaciones de Machine Learning” and especially Operaciones de Machine Learning, Etiquetado de Datos, Aprendizaje activo, visión artificial, herramienta de etiquetado de datos y Preparación de datos. This follows recorded positioning and does not imply unlisted capabilities are absent.

Labellerr also currently records: pricing is freemium, product type is website, 109.7K verified monthly visits, 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 Supervised.co first

Put Supervised.co on the priority trial list when the task aligns with “Anotación de Datos” and especially Aprendizaje Automático, No-code y Low-code, Desarrollo de IA, AutoML, ciencia de datos y Despliegue de modelo. This follows recorded positioning and does not imply unlisted capabilities are absent.

Supervised.co also currently records: pricing is freemium, product type is website, 3.5M 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 Labellerr and Supervised.co, 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.

Preguntas frecuentes

How should I choose between Labellerr and Supervised.co?
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.