Compare
COCO Detection vs ImageNet
Side-by-side comparison of COCO Detection (Benchmark) and ImageNet (Benchmark).
Live Data← All Comparisons
80.2
Composite Score
COCO Detection
Benchmark · Lin et al. / Microsoft
81.2
Composite Score
ImageNet
Benchmark · Deng et al. / Stanford / Princeton
Overall Winner
ImageNet
COCO Detection wins 2 of 6 categories · ImageNet wins 3 of 6 categories
Score Comparison
COCO DetectionvsImageNet
Composite
80.2:81.2
Adoption
95:97
Quality
90:88
Freshness
60:55
Citations
97:99
Engagement
0:0
Details
FieldCOCO DetectionImageNet
TypeBenchmarkBenchmark
ProviderLin et al. / MicrosoftDeng et al. / Stanford / Princeton
Version2017ILSVRC 2012
Categorycomputer-visioncomputer-vision
Pricingopen-sourceopen-source
LicenseCC BY 4.0Custom (research only)
DescriptionCOCO Detection is the standard benchmark for object detection and instance segmentation, featuring 330,000 images with over 1.5 million annotated instances across 80 object categories. Mean Average Precision (mAP) at various IoU thresholds is the primary metric.ImageNet (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.
Capabilities
Only COCO Detection
object-detectioninstance-segmentation
Shared
evaluation
Only ImageNet
image-classificationtransfer-learning-baseline
Tags
Only COCO Detection
object-detectioninstance-segmentationmapcoco
Shared
vision
Only ImageNet
image-classificationtop-1-accuracyilsvrcfoundational
Use Cases
COCO Detection
- ▸model evaluation
- ▸computer vision
- ▸robotics
ImageNet
- ▸model evaluation
- ▸computer vision
- ▸transfer learning
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