Compare
ImageNet vs HELM: Holistic Evaluation of Language Models
Side-by-side comparison of ImageNet (Benchmark) and HELM: Holistic Evaluation of Language Models (Benchmark).
Live Data← All Comparisons
81.2
Composite Score
ImageNet
Benchmark · Deng et al. / Stanford / Princeton
87
Composite Score
HELM: Holistic Evaluation of Language Models
Benchmark · Stanford Center for Research on Foundation Models (CRFM)
Overall Winner
HELM: Holistic Evaluation of Language Models
ImageNet wins 2 of 6 categories · HELM: Holistic Evaluation of Language Models wins 4 of 6 categories
Score Comparison
ImageNetvsHELM: Holistic Evaluation of Language Models
Composite
81.2:87
Adoption
97:85
Quality
88:90
Freshness
55:75
Citations
99:92
Engagement
0:80
Details
FieldImageNetHELM: Holistic Evaluation of Language Models
TypeBenchmarkBenchmark
ProviderDeng et al. / Stanford / PrincetonStanford Center for Research on Foundation Models (CRFM)
VersionILSVRC 2012v2.0
Categorycomputer-visionai-benchmarks
Pricingopen-sourcefree
LicenseCustom (research only)Apache 2.0
DescriptionImageNet (ILSVRC) is the foundational large-scale visual recognition benchmark with 1.2 million training images across 1,000 object categories. Top-1 and Top-5 accuracy on the validation set have been the standard measure of progress in image classification for over a decade.HELM is a living benchmark designed to provide a comprehensive and holistic evaluation of language models across a wide range of scenarios and metrics. It aims to move beyond single-number evaluations by assessing models on factors like truthfulness, calibration, fairness, robustness, and efficiency, providing a more nuanced understanding of their capabilities and limitations.
Capabilities
Only ImageNet
evaluationimage-classificationtransfer-learning-baseline
Shared
None
Only HELM: Holistic Evaluation of Language Models
language-understandingtext-generationreasoningknowledge-retrieval
Tags
Only ImageNet
image-classificationvisiontop-1-accuracyilsvrcfoundational
Shared
None
Only HELM: Holistic Evaluation of Language Models
language-modelsevaluationholistictruthfulnessfairnessrobustness
Use Cases
ImageNet
- ▸model evaluation
- ▸computer vision
- ▸transfer learning
HELM: Holistic Evaluation of Language Models
- ▸model comparison
- ▸risk assessment
- ▸model development
- ▸responsible ai
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