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Protein Data Bank vs ImageNet-1K

Side-by-side comparison of Protein Data Bank (Dataset) and ImageNet-1K (Dataset).

81.9
Composite Score
Protein Data Bank
Dataset · RCSB PDB / wwPDB Consortium
83.3
Composite Score
ImageNet-1K
Dataset · ImageNet / Stanford Vision Lab
Overall Winner
ImageNet-1K
Protein Data Bank wins 2 of 6 categories · ImageNet-1K wins 3 of 6 categories

Score Comparison

Protein Data BankvsImageNet-1K
Composite
81.9:83.3
Adoption
95:99
Quality
97:95
Freshness
91:60
Citations
98:99
Engagement
0:0

Details

FieldProtein Data BankImageNet-1K
TypeDatasetDataset
ProviderRCSB PDB / wwPDB ConsortiumImageNet / Stanford Vision Lab
Version20262012
Categoryscientificcomputer-vision
Pricingfreefree
LicenseCC0 1.0Custom (research use)
DescriptionThe RCSB Protein Data Bank (PDB) is the single worldwide archive of experimentally determined 3D structures of proteins, nucleic acids, and complex assemblies, currently containing over 220,000 biological macromolecular structures determined by X-ray crystallography, NMR, and cryo-EM. It is the foundational structural dataset for computational biology and was used to train and validate AlphaFold2 and other structure-prediction models.The canonical large-scale visual recognition benchmark containing 1.28 million training images across 1,000 object categories. ImageNet-1K underpins the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) and has driven the majority of deep learning breakthroughs in computer vision since 2012.

Capabilities

Only Protein Data Bank

3d-structure-searchsequence-structure-mappingligand-binding-analysis

Shared

None

Only ImageNet-1K

image-classificationtransfer-learningbenchmark-evaluation

Integrations

Only Protein Data Bank

biopythonpymolalphafold

Shared

None

Only ImageNet-1K

PyTorchTensorFlowHuggingFace Datasets

Tags

Only Protein Data Bank

proteinsstructuresbiologycrystallographyalphafold

Shared

None

Only ImageNet-1K

image-classificationobject-recognitionbenchmarkdeep-learningsupervised

Use Cases

Protein Data Bank

  • protein structure prediction training
  • drug design
  • structural biology research

ImageNet-1K

  • model training
  • benchmark
  • transfer learning
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