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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:
chr_inc_adic_fur_adic_fur_nede_medeus_her_a

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Custom

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

# 4. Get your results
print(result)

Top Bem_tab Datasets and Models

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

Related Objects of Interest:
chr_inc_adic_fur_adic_fur_nede_medeus_her_a
insects project thumbnail
Object Detection

insects

by Inovision

993 images
BEM_TABCHR_INC_ADIC_FUR_ADIC_FUR_NEDE_MEDEUS_HER_AEUS_HER_NNEZ_VIR_ANEZ_VIR_NSPO_ERI_ASPO_FRU_A
1003_insects_images project thumbnail
Object Detection

1003_insects_images

by inseto

1k images·37
BEM_TABCHR_INC_ADIC_FUR_ADIC_FUR_NDIC_FUR_OEDE_MEDEUS_HER_AEUS_HER_NEUS_HER_OHEL_ASPNEZ_VIR_ANEZ_VIR_NSPO_ERI_ASPO_FRU_ASPO_FRU_O
insetos project thumbnail
Object Detection

insetos

by Abdalla

951 images
BEM_TABCHR_INC_ADIC_FUR_ADIC_FUR_NDIC_FUR_OEDE_MEDEUS_HER_AEUS_HER_NEUS_HER_OHEL_ASPNEZ_VIR_ANEZ_VIR_NSPO_ERI_ASPO_FRU_ASPO_FRU_O
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