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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:
beetledead-larvaepupadead larvae/pupaeeggs

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Custom

Try Dead-larvae 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": "dead-larvae"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Search Results for class:dead-larvae

Related Objects of Interest:
beetledead-larvaepupadead larvae/pupaeeggs
Tenebrio AI Detection project thumbnail
Object Detection

Tenebrio AI Detection

by InsectIA Detect

1
394 images·1 model·6
beetledead-larvaelarvaepupa
synthetic-image project thumbnail
Instance Segmentation

synthetic-image

by Mealworms

218 images·2
BeetleMealworm-pupaeMealworm-pupae-unhealthy-beetledead-larvaelarvae
Plástve 2 project thumbnail
Object Detection

Plástve 2

by Bees

38 images·2
emptydead larvae/pupaeeggsnectarold larvae (L3 - L5)pupae (capped cells)young larvae (L1 - L2)
Plástve project thumbnail
Object Detection

Plástve

by Bees

38 images·3
emptydead larvae/pupaeeggsnectarold larvae (L3 - L5)pupae (capped cells)young larvae (L1 - L2)
Tenebrio IA Detection project thumbnail
Object Detection

Tenebrio IA Detection

by InsectIA Detect

394 images
beetledead-larvaelarvaepupa
Tenebrio Molitor detection project thumbnail
Object Detection

Tenebrio Molitor detection

by TECMAFOODS

202 images·2 models·25
beetledead larvaelarvaepupae
Showing 1 - 6 of 6
1
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