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Object Detection
Classification
Instance Segmentation
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RF-DETR
YOLO26
YOLOv11
YOLOv8
YOLO-NAS
+4


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

# 4. Get your results
print(result)

Top Invasive_field_sorrel Datasets and Models

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

Invasive and Pollinator Plant project thumbnail
Instance Segmentation

Invasive and Pollinator Plant

by SASHYFLOW

93 images·1 model
INVASIVE_Asiatic_JasmineINVASIVE_BlackberryINVASIVE_DandelionINVASIVE_English_HollyINVASIVE_English_IvyINVASIVE_Field_SorrelINVASIVE_GoutweedINVASIVE_Rose_CampionINVASIVE_Self_HealINVASIVE_Stinky_BobINVASIVE_Tree_of_HeavenINVASIVE_buttonweedInvasive SpeciesInvasive-and-Pollinator-PlantInvasive_SpeciesPOLLINATOR_Bloody_CranesbillPOLLINATOR_Burning_BushPOLLINATOR_CloverPOLLINATOR_CrocosmiaPOLLINATOR_Daisy
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