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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:
khwanchaitatitakanthanasornchakrithattapol

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Custom

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

# 4. Get your results
print(result)

Top Pipat Datasets and Models

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

Related Objects of Interest:
khwanchaitatitakanthanasornchakrithattapol
face project thumbnail
Object Detection

face

by workspace

2.29k images·7
angryawakebottledrowsyeyefacehumanneutralnormalpalmperson013114321133023310Alejandra Guzm�nAlifAlisson Sabill�n
sample project thumbnail
Object Detection

sample

by thai

29 images
PHICHATCHAIPIPATTHADA
TestV6 project thumbnail
Object Detection

TestV6

by Detection Face

585 images·1
KhwanchaiPipatRungtiwaSuparatTatitakanThanasorn
Face project thumbnail
Object Detection

Face

by Face

950 images·1
ChakritChanachaiChonlawatEkkaveeHattapolJirodomKhwanchaiKiartisakKittiKodchakonNaruemonOrnsineePannapornParichatParitaPatiparnPipatPongsakPunnapopPurin
Face project thumbnail
Object Detection

Face

by Test

1.36k images·2
KhwanchaiPipatTatitakanThanasorn
Showing 1 - 5 of 5
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