ImageNet
A large-scale dataset of 14M images in 20K categories, historically used as the benchmark for image classification models.
Related Concepts
- Computer Vision: Explore how Computer Vision relates to ImageNet
- Benchmark: Explore how Benchmark relates to ImageNet
- Image Classification: Explore how Image Classification relates to ImageNet
Why It Matters
Understanding ImageNet is crucial for anyone working with computer vision. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
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Related Terms
Benchmark
A standardized dataset and task used to compare model performance across different approaches (ImageNet, GLUE, SuperGLUE).
Computer Vision
The field of AI focused on enabling computers to understand and interpret visual information from images and videos.
Image Classification
Assigning a single label or category to an entire image, a fundamental computer vision task.