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UniProt vs COCO 2017
Side-by-side comparison of UniProt (Dataset) and COCO 2017 (Dataset).
Live Data← All Comparisons
80.9
Composite Score
UniProt
Dataset · UniProt Consortium (EMBL-EBI / SIB / PIR)
82.5
Composite Score
COCO 2017
Dataset · Microsoft
Overall Winner
COCO 2017
UniProt wins 2 of 6 categories · COCO 2017 wins 3 of 6 categories
Score Comparison
UniProtvsCOCO 2017
Composite
80.9:82.5
Adoption
93:97
Quality
97:96
Freshness
92:65
Citations
97:98
Engagement
0:0
Details
FieldUniProtCOCO 2017
TypeDatasetDataset
ProviderUniProt Consortium (EMBL-EBI / SIB / PIR)Microsoft
Version2026.012017
Categoryscientificcomputer-vision
Pricingfreefree
LicenseCC BY 4.0CC-BY-4.0
DescriptionUniProt (Universal Protein Resource) is the world's comprehensive, freely accessible protein sequence and functional information database, maintained by a consortium of EMBL-EBI, SIB, and PIR. It contains over 250 million protein sequences in UniParc, with 570,000+ manually reviewed entries in SwissProt providing expert-curated functional annotations, and serves as the gold-standard training source for protein language models.Microsoft COCO (Common Objects in Context) 2017 provides 118K training images with 860K object instances annotated with bounding boxes, segmentation masks, keypoints, and captions across 80 object categories. It remains the primary benchmark for object detection and instance segmentation research.
Capabilities
Only UniProt
protein-sequence-retrievalfunctional-annotationtaxonomy-search
Shared
None
Only COCO 2017
object-detectioninstance-segmentationkeypoint-detectionimage-captioning
Integrations
Only UniProt
biopythonalphafold
Shared
None
Only COCO 2017
PyTorchTensorFlowDetectron2MMDetection
Tags
Only UniProt
proteinsbiologysequencesfunctional-annotationbioinformatics
Shared
None
Only COCO 2017
object-detectionsegmentationkeypointscaptionsbenchmark
Use Cases
UniProt
- ▸protein language model training
- ▸drug target identification
- ▸functional genomics
COCO 2017
- ▸model training
- ▸benchmark
- ▸computer vision research
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