incomingflyingbrick / hotdog-detector

This is a hot dog detector

Cold

Public
43 runs
CPU

Run with an API

Playground API Examples README Versions

Prediction

incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f

Model

incomingflyingbrick/hotdog-detector:374a7f47

7hfxqz46j5rga0cfktsabh18sc

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

2m 10s

Created

about 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
  {
    input: {
      image: "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
    input={
        "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
    "input": {
      "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

[ [ "n04200800", "shoe_shop", 0.11588378995656967 ], [ "n03594734", "jean", 0.10308244824409485 ], [ "n02667093", "abaya", 0.0936664566397667 ] ]

Generated in

1.6 seconds

Tweak it Share Report

Prediction

incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f

Model

incomingflyingbrick/hotdog-detector:374a7f47

ambjh5zbdnoqt537cux6ha4mg4

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

0.4s

Created

almost 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
  {
    input: {
      image: "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
    input={
        "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run incomingflyingbrick/hotdog-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "incomingflyingbrick/hotdog-detector:374a7f47df04e20405699086ac35fc85b892ff3ac0c49c5f707194c1b2d35e0f",
    "input": {
      "image": "https://replicate.delivery/pbxt/J6cYWgHgjaHkBf6cP7apSD8avqo33ZSl2o5pKmDMpSgmyPNG/3D825A4F-E59B-413A-AEC5-130ABB97C419_1_105_c.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

[ [ "n04200800", "shoe_shop", 0.11588375270366669 ], [ "n03594734", "jean", 0.10308241099119186 ], [ "n02667093", "abaya", 0.09366624802350998 ] ]

Generated in

0.4 seconds

Tweak it Share Report

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Prediction

Input

Output

Prediction

Input

Output

Logs (7hfxqz46j5rga0cfktsabh18sc)

Logs (ambjh5zbdnoqt537cux6ha4mg4)