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Project Type
Object Detection
Classification
Instance Segmentation
+3

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

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greenripe

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Custom

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

# 4. Get your results
print(result)

Top Roten Datasets and Models

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

Related Objects of Interest:
greenripe
chúi chín project thumbnail
Object Detection

chúi chín

by qu chi

32 images
greenriperoten
Apple classification project thumbnail
Object Detection

Apple classification

by Rajarambapu Institute ofTechnology

260 images·2 models·11
Mid_ripedPre_ripedRiped_appleRotenUnriped
PlantHealth project thumbnail
Object Detection

PlantHealth

by Leafit

52 images·2 models
Bacterial BlightBug bitesDied LeafEnvironmental StressFungal DiseaseLeaf SpotsNutrient DeficiencyPowdery MildewRoten RootSunburnYellowing leavesfungal leaf spothealthyplantsmealybugsplantsroot rotslug
My First Project project thumbnail
Object Detection

My First Project

by qu chi

36 images
greenripealmost rotenroten
apple vs peach  project thumbnail
Object Detection

apple vs peach

by Nada Daassi

513 images·4
apple-freshfresh applefresh peachfreshappleroten peachrotten applerotten peach
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