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Project Type
Object Detection
Classification
Instance Segmentation
+3

Model Type
RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4

Related Objects of Interest:
cat_1cat_10cat_11cat_12cat_14

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Custom

Try Cat_21 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": "cat_21"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Cat_21 Datasets and Models

The datasets below can be used to train fine-tuned models for cat_21 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:
cat_1cat_10cat_11cat_12cat_14
PIC001_tiles project thumbnail
Object Detection

PIC001_tiles

by PID project

1.95k images
jsonobject0_Pumps10_Fittings1_Compressors2_Drivers2_Valves3_Specialty3_TEMA_Exchangers4_Misc_Exchangers5_Storage_Tanks6_Sphere_Furnace7_Jacketed_Vessels9_Specialtycat_1cat_10cat_11cat_12cat_14cat_15
PIC001 project thumbnail
Object Detection

PIC001

by PID project

500 images
jsonobject0_Pumps10_Fittings1_Compressors2_Drivers2_Valves3_Specialty3_TEMA_Exchangers4_Misc_Exchangers5_Storage_Tanks6_Sphere_Furnace7_Jacketed_Vessels9_Specialtycat_1cat_10cat_11cat_12cat_14cat_15
azure PID project thumbnail
Object Detection

azure PID

by PID project

500 images
jsonobjectcat_1cat_10cat_11cat_12cat_14cat_15cat_16cat_17cat_18cat_19cat_20cat_21cat_22cat_23cat_24cat_25cat_26cat_27
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