Dominio
Machine Learning & AI
Perfil de habilidad
Object Detection
YOLO, DETR, SSD, anchor-based vs anchor-free approaches, mAP metrics, NMS
Machine Learning & AI
Computer Vision
Roles
1
donde aparece esta habilidad
Niveles
5
ruta de crecimiento estructurada
Requisitos obligatorios
3
los otros 2 opcionales
skills.group
Computer Vision
Última actualización
17/3/2026
Cómo usar
Selecciona tu nivel actual y compara las expectativas.
Qué se espera en cada nivel
La tabla muestra cómo crece la profundidad desde Junior hasta Principal.
| Rol | Obligatorio | Descripción |
|---|---|---|
| Computer Vision Engineer | Understands the fundamentals of Object Detection. Applies basic practices in daily work. Follows recommendations from the team and documentation. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| Computer Vision Engineer | Independently applies Object Detection in practice. Understands trade-offs of different approaches. Solves typical tasks independently. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| Computer Vision Engineer | Obligatorio | Has deep expertise in Object Detection. Designs solutions for production systems. Optimizes and scales. Mentors the team. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| Computer Vision Engineer | Obligatorio | Defines Object Detection strategy at the team/product level. Establishes standards and best practices. Conducts reviews. |
| Rol | Obligatorio | Descripción |
|---|---|---|
| Computer Vision Engineer | Obligatorio | Defines Object Detection strategy at the organizational level. Establishes enterprise approaches. Mentors leads and architects. |
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