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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 Binghami 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": "binghami"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top Binghami Datasets and Models

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

GB_Aphotomarine project thumbnail
Instance Segmentation

GB_Aphotomarine

by Mollusc Imaging Project

1.95k images
Abra albaAbra prismaticaAbra tenuisAcanthocardia aculeataAcanthocardia echinataAcanthocardia paucicostataAcanthocardia tuberculataAclis ascarisAclis minorAequipecten opercularisAlvania beaniiAlvania cancellataAlvania carinataAlvania cimicoidesAlvania jeffreysiAlvania lacteaAlvania puncturaAnadara transversaAnatoma crispataAnomia ephippium
Skripsi YOLO project thumbnail
Object Detection

Skripsi YOLO

by LumericN

1.41k images
beeflowerfoodleafpeopletree01ApicalisBeeBinghamiBiroiItamaThoracicaViduainsectsunknown
Showing 1 - 2 of 2
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