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How AI describes YOLO (You Only Look Once)

Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this

YOLO (You Only Look Once) logoYOLO (You Only Look Once)pjreddie.com

YOLO is a state-of-the-art, real-time object detection system that processes images at 30 FPS on a Pascal Titan X with a mAP of 57.9% on COCO test-dev. It applies a single neural network to the full image, dividing it into regions to predict bounding boxes and probabilities, making it over 1000x faster than R-CNN.

Ownership
Part ofPjreddie logoPjreddie
YOLO (You Only Look Once) logoYOLO (You Only Look Once)

Parse Score

53.8

#41 of 43 in Cloud Machine Learning Infrastructure Platforms

Strength33
Reach44
Authority25

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Sources

reddit.com shapes more of what AI says about YOLO (You Only Look Once) than any other source, at 100% of its citations.

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The market map

Cloud Machine Learning Infrastructure Platforms →
5%10%20%50%100%Category leadersSpecialistsIn the mixLong tailNamed in more AI answers →Appears earlier in the answer →RoboflowAlphabetAmazonMicrosoftDatatureUltralyticsKubeflowLanding AIPyTorchLabelboxGoogle Gemini APIClarifaiChoochCVAT

Where AI ranks YOLO (You Only Look Once)

Cloud Machine Learning Infrastructure Platforms#41
Prompt
Prompt visibility
My goal is to train a computer vision model for object detection. What's the best managed training platform for computer vision?0.6