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

# 4. Get your results
print(result)

Top Tomato_bacteria Datasets and Models

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

plant leaf disease project thumbnail
Object Detection

plant leaf disease

by Facial Emotion Recognition

1.35k images·1
appleapple_apple scabapple_black rotapple_cedar apple rustapple_healthyblack pepper_bacterial spotblack pepper_healthycherry_healthycherry_powdery mildewcorn_Cercospora Leaf Spotcorn_Common Rustcorn_Northern Leaf Blightcorn_healthygrape_Esca (Black Measles)grape_Leaf Blightgrape_black rotgrape_healthypeach_Bacterial Spotpeach_healthypotato_Early Blight
crops project thumbnail
Object Detection

crops

by ai project

396 images
diseasestomato_bacteria
Showing 1 - 2 of 2
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