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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 Feuillesneltuma 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": "feuillesneltuma"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Feuillesneltuma Datasets and Models

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

Reconnaissanc des espèces endogé project thumbnail
Object Detection

Reconnaissanc des espèces endogé

by Mames Workspace

300 images·2 models
ArbreEucalyptusArbreNeltumaArbresEucalyptusBrabcheMorteNeltumaBrabchePapayeBrancheEucalyptusBrancheMantalyBrancheMorteNeltumaBrancheNeltumaBranchePapayeBranchesMantalyBranchesMorteNeltumaBranchesNeltumaDracaenaFeuiileNeltumaFeuileeucalyptusFeuilleDracaenaFeuilleDraceanaMorteFeuilleDraceanaPRESMorteFeuilleDraciana
reconnaissance especes endogenes project thumbnail
Object Detection

reconnaissance especes endogenes

by Mouhamadou Moustapha SY's Workspace

104 images·2 models
objectbranche eucalyptusbranche eucalyptus demunie ecorcebranche eucalyptus partiellementpourriebranche neembranchecocotierbranches neltumabrancheterminalia mentalyecorce eucalyptusfeuille cocotierfeuille eucalyptusfeuille eucalyptus mortefeuille neemfeuille terminalia mentalyfeuilles neltumafeuillesneltumafibrecocotierfine branche morte eucalyptusfine branche neemfine branche terminalia mentaly
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