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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:

other pe-hd pe-ld pet plastics

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Custom

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Custom

Try 069 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": "069"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top 069 Datasets and Models

The datasets below can be used to train fine-tuned models for 069 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:

other pe-hd pe-ld pet plastics

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

book recgnition_v8 project thumbnail

Object Detection

book recgnition_v8

380 images

019 069-02 069-021 104 116 121-65 123-81 131-4 131-6 133-2 133-4 134-97 135-5 135-55 159 164-31 183-92 209-75 210-58 213-6

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

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

1-1 project thumbnail

1-1

337 images2

Case 001 Case 002 Case 003 Case 004 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 019 Case 020 Case 022 Case 023

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

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

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

booknumber-recgnitionv1 project thumbnail

Object Detection

booknumber-recgnitionv1

542 images1 model1

019 069-02 069-021 104 116 121-65 123-81 131-4 131-6 133-2 133-4 134-97 135-5 135-55 159 164-31 183-92 209-75 210-58 213-6

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

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

plastic project thumbnail

Object Detection

plastic

by s

4k images2 models

pet 00 01 010 011 012 013 014 015 016 017 018 019 02 020 021 022 023 024 025

Age Detection Model project thumbnail

Age Detection Model

by Blue Stamp Engineering

7.38k images10

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

pehd-ps project thumbnail

Object Detection

pehd-ps

by s

1.12k images

pet 00 01 010 011 012 013 014 015 016 017 018 019 02 020 021 022 023 024 025

Ears 2 project thumbnail

Ears 2

by SB

1k images14

001 001t 002 002t 003 003t 004 004t 005 005t 006 006t 007 007t 008 008t 009 009t 010 010t

3 digit annotate project thumbnail

3 digit annotate

2.45k images

000 0008 001 002 003 004 005 006 007 008 009 010 011 012 013 014 015 016 017 018

optcg project thumbnail

Object Detection

optcg

28 images

OP02-001 OP02-003 OP02-006 OP02-007 OP02-010 OP02-023 OP02-028 OP02-032 OP02-033 OP02-043 OP02-046 OP02-053 OP02-054 OP02-059 OP02-060 OP02-063 OP02-069 OP02-070 OP02-074 OP02-078

Full Pipeline Test project thumbnail

Object Detection

Full Pipeline Test

by Josephs Workspace

627 images

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

booknumber-recgnitionv8 project thumbnail

Object Detection

booknumber-recgnitionv8

380 images

019 069-02 069-021 104 116 121-65 123-81 131-4 131-6 133-2 133-4 134-97 135-5 135-55 159 164-31 183-92 209-75 210-58 213-6

booknumber-recgnition project thumbnail

Object Detection

booknumber-recgnition

561 images1 model1

019 069-02 069-021 104 116 121-65 123-81 131-4 131-6 133-2 133-4 134-97 135-5 135-55 159 164-31 183-92 209-75 210-58 213-6

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