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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

Related Objects of Interest:

ak 30 amc 30 azm 15 c 30 caz 30

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Custom

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

# 4. Get your results
print(result)

Top Tob Datasets and Models

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

Related Objects of Interest:

ak 30 amc 30 azm 15 c 30 caz 30

aintibiyotik_deneme project thumbnail

aintibiyotik_deneme

by antibiograms

1

6.98k images4

1 10 15 2 25 30 36 5 75 85 AK AMP ATM AUG C CAZ CD CIP CN CRO

dataas project thumbnail

Object Detection

dataas

212 images1 model

AK 30 AMB 20 AMC 30 ATM 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP 30 CIP 5 CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2

all_data project thumbnail

Object Detection

all_data

64 images

AK 30 AMC 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP 30 CIP 5 CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2 DOR 10 ETP 10

antibiotic_classification project thumbnail

antibiotic_classification

941 images

AK AM10 AMC CAZ CIP CN CPD CRO ETP F100 FEP FF FOX MEM PEF SXT TOB TPZ

烟草 project thumbnail

Instance Segmentation

烟草

by zy

76 images1 model

from_robo project thumbnail

Object Detection

from_robo

308 images

AK 30 AMB 20 AMC 30 ATM 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2 DOR 10

dn project thumbnail

Object Detection

dn

by dn

152 images1 model3

AK-30 AM-10 AMC-30 AMP-2 ATM-30 CAZ-10 CIP-5 CN-10 CN-30 CRO-30 CTX-5 CXM-30 DA-2 E-15 ETP-10 F-100 FD-10 FEP-30 FOX-30 IPM-10

classify-diskname project thumbnail

classify-diskname

152 images1 model5

AK-30 AM-10 AMC-30 AMP-2 ATM-30 CAZ-10 CIP-5 CN-10 CN-30 CRO-30 CTX-5 CXM-30 DA-2 E-15 ETP-10 F-100 FD-10 FEP-30 FOX-30 IPM-10

discus-minus project thumbnail

discus-minus

371 images1 model1

AK-30 AM-10 AMC-30 AMP-2 ATM-30 CAZ-10 CIP-5 CN-10 CN-30 CRO-30 CTX-5 CXM-30 DA-2 ETP-10 F-100 FD-10 FEP-30 FOX-30 IPM-10 LEV-5

diskername project thumbnail

Object Detection

diskername

371 images8

AK-30 AM-10 AMC-30 AMP-2 ATM-30 CAZ-10 CIP-5 CN-10 CN-30 CRO-30 CTX-5 CXM-30 DA-2 ETP-10 F-100 FD-10 FEP-30 FOX-30 IPM-10 LEV-5

new_data project thumbnail

Object Detection

new_data

326 images

AK 30 AMC 30 ATM 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2 DOR 10 ETP 10

Rewending project thumbnail

Object Detection

Rewending

by objectdetection

376 images

sambungan sobek tob

diskerv2 project thumbnail

Object Detection

diskerv2

81 images8

AK-30 AM-10 AMC-30 AMP-2 ATM-30 CAZ-10 CIP-5 CN-10 CN-30 CRO-30 CTX-5 CXM-30 DA-2 E-15 ETP-10 F-100 FD-10 FEP-30 FF-200 FOX-30

data al project thumbnail

Object Detection

data al

84 images

5 AK 30 AMC 30 ATM 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP 30 CIP 5 CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2

data alll project thumbnail

Object Detection

data alll

104 images

AK 30 AMC 30 ATM 30 AZM 15 C 30 CAZ 30 CEC 30 CES 105 CFM 5 CIP 30 CIP 5 CLR 15 CN 10 CRO 30 CT 10 CTX 30 CX 5 CXM 30 DA 2 DOR 10

thesis work project thumbnail

Instance Segmentation

thesis work

215 images2 models

object AK AM10 AMC CAZ CIP CN CPD CRO ETP F100 FEP FF FOX MEM NULL PEF SXT TOB TPZ

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