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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:

pet unlabeled other pe-hd pe-ld

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Try 018 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": "018"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top 018 Datasets and Models

The datasets below can be used to train fine-tuned models for 018 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:

pet unlabeled other pe-hd pe-ld

Ear recog project thumbnail

Ear recog

2

700 images

000 001 002 003 004 005 007 008 009 010 011 012 013 014 018 019 020 021 022 023

Cervical cancer 4 project thumbnail

Cervical cancer 4

1

515 images

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

CANCERS project thumbnail

CANCERS

by unm

1

4.14k images1 model

001 Case 002 Case 003 Case 004 Case 005 Case 006 Case 007 Case 008 Case 009 Case 010 Case 011 Case 012 Case 013 Case 014 Case 015 Case 016 Case 017 Case 018 Case 019 Case 020 Case

AML_SignatureRec project thumbnail

AML_SignatureRec

1.65k images3

001 001_forg 002 002_forg 003 003_forg 004 004_forg 006 006_forg 009 009_forg 012 012_forg 013 013_forg 014 014_forg 015 015_forg

machine learning project thumbnail

Object Detection

machine learning

by eliamkmachinelearning

105 images5

0001 0002 0003 0004 0005 0006 0007 0008 0009 001 0010 0011 0012 0013 0015 0016\0017 0019 002 0020

ppps-little-143 project thumbnail

Object Detection

ppps-little-143

by s

143 images

pet 0 00 01 010 011 012 013 014 015 016 017 018 019 02 020 021 022 023 024

plc input5 project thumbnail

Object Detection

plc input5

by Bharath Balaji E

6.83k images1 model3

000 001 002 003 004 005 006 007 008 012 013 014 015 016 017 018 023 024 025 026

test-pet project thumbnail

Object Detection

test-pet

by Kittitham Phadungviang

436 images6

pet-010 pet-011 pet-012 pet-013 pet-014 pet-015 pet-016 pet-017 pet-018 pet-019

0208_16_food identify project thumbnail

Object Detection

0208_16_food identify

by

300 images

food _ 018 food _ 049 food _ 050 food _ 051

ppps-0.49-286 project thumbnail

Object Detection

ppps-0.49-286

by s

286 images

pet 0 00 01 010 011 012 013 014 015 016 017 018 019 02 020 021 022 023 024

label project thumbnail

Object Detection

label

58 images

bottle 001 002 003 004 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

Fruit Classifier.( 1 Project ) project thumbnail

Fruit Classifier.( 1 Project )

by Practical Assignment

1.09k images

+ 80 001 002 004 005 006 007 008 010 011 012 013 014 015 016 017 018 019 020 021

Pokemon Card Detection project thumbnail

Object Detection

Pokemon Card Detection

35 images1 model

001 002 003 004 005 007 008 012 014 015 018 020 021 022 023 032 035 038 039 041

NewCarro_NumEnt_v9 project thumbnail

Object Detection

NewCarro_NumEnt_v9

154 images

01 010 011 012 013 014 015 016 017 018 019 02 020 03 030 04 040 05 050 06

My First Project project thumbnail

My First Project

by su

160 images

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

ocr 3-digit recognize project thumbnail

Object Detection

ocr 3-digit recognize

56 images

012 018 020 021 025 044 069 121 140 188 216 251 260 266 270 282 283 305 311 332

Maya Glyphs segmentation model project thumbnail

Instance Segmentation

Maya Glyphs segmentation model

by Maya Epigraphy

852 images8 models

001 002 003 004 005 006 007 008 009 010 011 012 013 014 016 017 018 019 1B1 1B2

new ocr project thumbnail

Object Detection

new ocr

by ocr

420 images

01150 CORPORATION STRIPE 02 80 PC SHIRTING 03-30 03-32 03-34 10001 10002 10003 10004 10005 10006 10007 10008 10009 10011 10012 10013 10015 10017 10018

Athletes project thumbnail

Object Detection

Athletes

by Limetime photos

583 images

0 001 002 0036 008 009 01 010 012 0122 0124 013 014 0166 0167 0168 017 018 019 02

Age Detection Model project thumbnail

Age Detection Model

by Blue Stamp Engineering

7.45k images1 model11

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

My First Project project thumbnail

My First Project

932 images

000 018 036 054 072 090 108 126 144 162 180 Unlabeled bg-01-000 bg-02-000

APPLE project thumbnail

APPLE

153 images3

001 002 004 005 006 007 008 010 011 012 013 014 015 016 017 018 019 020 021 022

ppps-0.74-286 project thumbnail

Object Detection

ppps-0.74-286

by s

286 images

pet 0 00 01 010 011 012 013 014 015 016 017 018 019 02 020 021 022 023 024

zz1q project thumbnail

Object Detection

zz1q

by new-workspace-ib2oh

748 images3

bear burger butter cake cap coffee drink face food good milk mouth noodle object rice sandwich (02)22510938 (02)22519784 (02)22531709 (03)281-0018

NewCarro_v2 project thumbnail

Object Detection

NewCarro_v2

205 images1 model

01 010 011 012 013 014 015 016 017 018 019 02 020 03 030 04 040 05 06 07

hat project thumbnail

Object Detection

hat

by hat

26 images6

hat hat-001 hat-002 hat-003 hat-004 hat-005 hat-007 hat-008 hat-009 hat-010 hat-011 hat-012 hat-013 hat-015 hat-017 hat-018 hat-019 hat-020 hat-021 hat-022

ocr01 project thumbnail

Object Detection

ocr01

648 images

$SUZUKEO (08456-115 (A DATGTA)(DENTRE --2323 -510--518--519-083 -51B -SOH 000-65 000-75 0005 00075 001-44 001-78 00342 004-04 005-

ear project thumbnail

ear

2.07k images2 models

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

Defect_detection project thumbnail

Object Detection

Defect_detection

by CPEC Genesys

60 images1 model

K-002 K-003 K-004 K-005 K-006 K-009 K-011 K-012 K-014 K-017 K-018 K-020 K-021 K-022 K-024 K-025 K-027 K-028 K-030 K-034

Calados_Carros project thumbnail

Object Detection

Calados_Carros

149 images

01 010 011 012 013 014 015 016 017 018 019 02 020 03 04 05 06 07 08 09

data_close_bounding_box project thumbnail

Object Detection

data_close_bounding_box

by CPEC Genesys

53 images

K-002 K-003 K-004 K-005 K-006 K-009 K-012 K-014 K-017 K-018 K-020 K-021 K-022 K-024 K-025 K-027 K-028 K-030 K-034 K-038

Project01 project thumbnail

Object Detection

Project01

1.64k images

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

Forest Fire Detection project thumbnail

Instance Segmentation

Forest Fire Detection

250 images3

001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018 019 020

cloth_defect_seg project thumbnail

Instance Segmentation

cloth_defect_seg

by CPEC Genesys

53 images

K-002 K-003 K-004 K-005 K-006 K-009 K-012 K-014 K-017 K-018 K-020 K-021 K-022 K-024 K-025 K-027 K-028 K-030 K-034 K-038

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