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Summary

DS-1349
Darknet Neural Network
External Tool
External Data Source
GitHub
Unknown
Unknown
55 (lowest rank is 55)

Category & Restrictions

Other
darknet infrastructure, cyber crime
Unrestricted
true

Description


Darknet is an open source neural network framework written in C and CUDA.

Darknet apply a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilities for each region. These bounding boxes are weighted by the predicted probabilities. Darknet has several advantages over classifier-based systems. It looks at the whole image at test time so its predictions are informed by global context in the image. It also makes predictions with a single network evaluation unlike systems like R-CNN which require thousands for a single image. This makes it extremely fast, more than 1000x faster than R-CNN and 100x faster than Fast R-CNN.

Additional Details

6.0MB
false
Unknown
classification algorithms, artificial neural network, cuda, dark web, inferlink corporation, world wide web, darknet, market research, machine learning, network architecture, 1349, darknet market, external data source, darknet neural network, virtual private network, video game hardware, graphics hardware, file sharing