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Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

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n02094433-yorkshire_terrier n02099601-golden_retriever n02099712-labrador_retriever n02100236-german_short-haired_pointer n02106550-rottweiler

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Try N02100236-german_short-haired_pointer Detection API

Run on custom image

Drop or click to upload

# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "n02100236-german_short-haired_pointer"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:n02100236-german_short-haired_pointer

Related Objects of Interest:

n02094433-yorkshire_terrier n02099601-golden_retriever n02099712-labrador_retriever n02100236-german_short-haired_pointer n02106550-rottweiler

dog detection project thumbnail

dog detection

by openclassroom

1.64k images1 model3

Unlabeled n02088364-beagle n02094433-Yorkshire_terrier n02099601-golden_retriever n02099712-Labrador_retriever n02100236-German_short-haired_pointer n02106550-Rottweiler n02106662-German_shepherd n02108915-French_bulldog n02113023-Pembroke n02113799-standard_poodle

My First Project project thumbnail

My First Project

20.5k images

--------------------------------------------------==================================================Number of breeds: 120 Samples per breed:Test samples: 2058 (10-0%)Total samples: 20580 Train samples: 16464 (80-0%)Validation samples: 2058 (10-0%)YOLO Dataset Statistics n02085620-Chihuahua: 152 (train: 122, val: 15, test: 15)n02085782-Japanese_spaniel: 185 (train: 148, val: 19, test: 18)n02085936-Maltese_dog: 252 (train: 202, val: 25, test: 25)n02086079-Pekinese: 149 (train: 119, val: 15, test: 15)n02086240-Shih-Tzu: 214 (train: 171, val: 21, test: 22)n02086646-Blenheim_spaniel: 188 (train: 150, val: 19, test: 19)n02086910-papillon: 196 (train: 157, val: 19, test: 20)n02087046-toy_terrier: 172 (train: 138, val: 17, test: 17)n02087394-Rhodesian_ridgeback: 172 (train: 137, val: 17, test: 18)n02088094-Afghan_hound: 239 (train: 191, val: 24, test: 24)n02088238-basset: 175 (train: 140, val: 18, test: 17)

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