YOLOv8n Hand

January 10, 2023

YOLOv8n Hand is a lightweight image masking model for detecting hands in realistic 2D imagery and returning black-and-white masks for each detection. It is useful for automated hand-focused inpainting, hand detail enhancement, and batch masking workflows.

Mask

Bicycle Repair Workbench Hands

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@3',
  settings: {
    confidence: 0.45,
    maxDetections: 2,
    maskPadding: 14,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/3fa019dd-0990-403f-9790-65a1d8cb3d60.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@3",
            "settings": {
                "confidence": 0.45,
                "maxDetections": 2,
                "maskPadding": 14,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/3fa019dd-0990-403f-9790-65a1d8cb3d60.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "721ca6d5-78c9-4c58-957d-e5b565a4a4d5",
      "model": "runware:35@3",
      "settings": {
        "confidence": 0.45,
        "maxDetections": 2,
        "maskPadding": 14,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/3fa019dd-0990-403f-9790-65a1d8cb3d60.jpg"
      }
    }
  ]'

runware run runware:35@3 \
  settings.confidence=0.45 \
  settings.maxDetections=2 \
  settings.maskPadding=14 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/3fa019dd-0990-403f-9790-65a1d8cb3d60.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "721ca6d5-78c9-4c58-957d-e5b565a4a4d5",
  "model": "runware:35@3",
  "settings": {
    "confidence": 0.45,
    "maxDetections": 2,
    "maskPadding": 14,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/3fa019dd-0990-403f-9790-65a1d8cb3d60.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "721ca6d5-78c9-4c58-957d-e5b565a4a4d5",
  "maskImageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/59e8fc80-83d1-4a52-be68-1852aa8228d0.jpg",
  "detections": [
    {
      "x_min": 207,
      "y_min": 272,
      "x_max": 530,
      "y_max": 513
    },
    {
      "x_min": 419,
      "y_min": 274,
      "x_max": 620,
      "y_max": 488
    }
  ],
  "cost": 0.0006,
  "maskImageUUID": "59e8fc80-83d1-4a52-be68-1852aa8228d0"
}

Mask

Dumpling Counter Hand Detection

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@3',
  settings: {
    confidence: 0.45,
    maxDetections: 2,
    maskPadding: 14,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/a816c7fd-60c9-46a6-bc2d-6766ca139410.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@3",
            "settings": {
                "confidence": 0.45,
                "maxDetections": 2,
                "maskPadding": 14,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/a816c7fd-60c9-46a6-bc2d-6766ca139410.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "cf50ee05-c494-4c9d-a956-cb3a53b2d986",
      "model": "runware:35@3",
      "settings": {
        "confidence": 0.45,
        "maxDetections": 2,
        "maskPadding": 14,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/a816c7fd-60c9-46a6-bc2d-6766ca139410.jpg"
      }
    }
  ]'

runware run runware:35@3 \
  settings.confidence=0.45 \
  settings.maxDetections=2 \
  settings.maskPadding=14 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/a816c7fd-60c9-46a6-bc2d-6766ca139410.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "cf50ee05-c494-4c9d-a956-cb3a53b2d986",
  "model": "runware:35@3",
  "settings": {
    "confidence": 0.45,
    "maxDetections": 2,
    "maskPadding": 14,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/a816c7fd-60c9-46a6-bc2d-6766ca139410.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "cf50ee05-c494-4c9d-a956-cb3a53b2d986",
  "maskImageURL": "https://im.runware.ai/image/os/a07dlim3/ws/4/ii/afbe5f41-728b-4eba-97c2-c8ae91d4d7d9.jpg",
  "detections": [
    {
      "x_min": 238,
      "y_min": 204,
      "x_max": 516,
      "y_max": 477
    },
    {
      "x_min": 480,
      "y_min": 210,
      "x_max": 699,
      "y_max": 457
    }
  ],
  "cost": 0.0006,
  "maskImageUUID": "afbe5f41-728b-4eba-97c2-c8ae91d4d7d9"
}

Mask

Pottery Studio Hand Masking

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@3',
  settings: {
    confidence: 0.45,
    maxDetections: 2,
    maskPadding: 14,
    maskBlur: 5
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/6695bd4f-e9c0-4cf9-b101-0802973be93a.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@3",
            "settings": {
                "confidence": 0.45,
                "maxDetections": 2,
                "maskPadding": 14,
                "maskBlur": 5
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/6695bd4f-e9c0-4cf9-b101-0802973be93a.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "7dd5cb6d-f2b2-4031-810b-cc6d5a0c5b18",
      "model": "runware:35@3",
      "settings": {
        "confidence": 0.45,
        "maxDetections": 2,
        "maskPadding": 14,
        "maskBlur": 5
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/6695bd4f-e9c0-4cf9-b101-0802973be93a.jpg"
      }
    }
  ]'

runware run runware:35@3 \
  settings.confidence=0.45 \
  settings.maxDetections=2 \
  settings.maskPadding=14 \
  settings.maskBlur=5 \
  inputs.image=https://assets.runware.ai/assets/inputs/6695bd4f-e9c0-4cf9-b101-0802973be93a.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "7dd5cb6d-f2b2-4031-810b-cc6d5a0c5b18",
  "model": "runware:35@3",
  "settings": {
    "confidence": 0.45,
    "maxDetections": 2,
    "maskPadding": 14,
    "maskBlur": 5
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/6695bd4f-e9c0-4cf9-b101-0802973be93a.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "7dd5cb6d-f2b2-4031-810b-cc6d5a0c5b18",
  "maskImageURL": "https://im.runware.ai/image/os/a10dlim3/ws/4/ii/2c3643c5-c686-4f68-93aa-61683b61771d.jpg",
  "detections": [
    {
      "x_min": 261,
      "y_min": 320,
      "x_max": 546,
      "y_max": 535
    },
    {
      "x_min": 415,
      "y_min": 304,
      "x_max": 600,
      "y_max": 519
    }
  ],
  "cost": 0.0006,
  "maskImageUUID": "2c3643c5-c686-4f68-93aa-61683b61771d"
}

Mask

Ballet Shoe Fitting Hands

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'runware:35@3',
  settings: {
    confidence: 0.45,
    maxDetections: 2,
    maskPadding: 14,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/9f2b2e5a-990d-4e01-bdab-85ebf4a44bab.jpg'
  }
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:35@3",
            "settings": {
                "confidence": 0.45,
                "maxDetections": 2,
                "maskPadding": 14,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/9f2b2e5a-990d-4e01-bdab-85ebf4a44bab.jpg"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "04c7707e-edc7-49c5-a07e-1ed2b3414f23",
      "model": "runware:35@3",
      "settings": {
        "confidence": 0.45,
        "maxDetections": 2,
        "maskPadding": 14,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/9f2b2e5a-990d-4e01-bdab-85ebf4a44bab.jpg"
      }
    }
  ]'

runware run runware:35@3 \
  settings.confidence=0.45 \
  settings.maxDetections=2 \
  settings.maskPadding=14 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/9f2b2e5a-990d-4e01-bdab-85ebf4a44bab.jpg

{
  "taskType": "imageMasking",
  "taskUUID": "04c7707e-edc7-49c5-a07e-1ed2b3414f23",
  "model": "runware:35@3",
  "settings": {
    "confidence": 0.45,
    "maxDetections": 2,
    "maskPadding": 14,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/9f2b2e5a-990d-4e01-bdab-85ebf4a44bab.jpg"
  }
}

Response

{
  "taskType": "imageMasking",
  "taskUUID": "04c7707e-edc7-49c5-a07e-1ed2b3414f23",
  "maskImageURL": "https://im.runware.ai/image/os/a02d21/ws/4/ii/56bc7c3e-e878-4483-8a93-e4126459e920.jpg",
  "detections": [
    {
      "x_min": 382,
      "y_min": 265,
      "x_max": 591,
      "y_max": 466
    },
    {
      "x_min": 582,
      "y_min": 274,
      "x_max": 827,
      "y_max": 464
    }
  ],
  "cost": 0.0006,
  "maskImageUUID": "56bc7c3e-e878-4483-8a93-e4126459e920"
}