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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:
anthracnose-level-2anthracnose-level-3

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Custom

Try Anthracnose-level-2 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": "anthracnose-level-2"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:anthracnose-level-2

Related Objects of Interest:
anthracnose-level-2anthracnose-level-3
a project thumbnail
Object Detection

a

by object detection

261 images·2
anthracnose-level-2anthracnose-level-3
rotten eggplants project thumbnail
Object Detection

rotten eggplants

by yolo

769 images
carrotcucumbereggplanttomato00_bellpepper_fresh1_bellpepper_rottenAnthracnoseBacterial InfectionBudDamaged potatoDefected potatoDiseased-fungal potatoGrey RotHealthyHealthy fruitInsect effectedPhomopsisPotatoRotten-Tomatoes
A2 project thumbnail
Object Detection

A2

by a1

1.61k images·1 model
anthracnose-level-1anthracnose-level-2anthracnose-level-3
Showing 1 - 3 of 3
1
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