deeplearning / InceptionNet / 1.0.5


10 Credit Royalty
Automatically tag images with InceptionNet
Python 2.x
API Calls - 282,116 Avg call duration - 5.79sec
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This is necessary for algorithms that rely on external services, however it also implies that this algorithm is able to send your input data outside of the Algorithmia platform.
This allows an algorithm to compose sophisticated functionality using other algorithms as building blocks , however it also carries the potential of incurring additional royalty and usage costs from any algorithm that it calls .

Run an Example

  "tags": [
      "class": "Samoyed, Samoyede",
      "confidence": 0.8956906795501709
      "class": "keeshond",
      "confidence": 0.004031287971884012
      "class": "Pomeranian",
      "confidence": 0.0023821250069886446
      "class": "Eskimo dog, husky",
      "confidence": 0.001681338995695114
      "class": "white wolf, Arctic wolf, Canis lupus tundrarum",
      "confidence": 0.001190228504128754

Install and Use


Install the Algorithmia CLI client by running:

curl -sSLf | sh

Then authenticate by running:

$ algo auth
# When prompted for api endpoint, hit enter
# When prompted for API key, enter your key: YOUR_API_KEY
CLI Install Docs


    algo run deeplearning/InceptionNet/1.0.5 -d '""' --timeout 300
CLI Docs