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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:

"គីរីរម្យ"+ អេមេដ +: 096 726 9611-071 937 1008 :012 87 57 87 label

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Custom

Try 4600 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": "4600"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top 4600 Datasets and Models

The datasets below can be used to train fine-tuned models for 4600 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:

"គីរីរម្យ"+ អេមេដ +: 096 726 9611-071 937 1008 :012 87 57 87 label

cad detecting- formal project thumbnail

Object Detection

cad detecting- formal

by Shoukai Software

2

778 images24

-0.800 1.3°1.6°1.7°100 1000 10300 1050 105°106700 106870 1075 10800 109500 1100 1150 115400 117628 1200 125

LEGO bricks pile Dataset project thumbnail

Object Detection

LEGO bricks pile Dataset

by LEGO Dataset Master Thesis

31 images

10197 10201 10247 10928 11055 11090 11153 11203 11211 11212 11213 11214 11215 11253 11458 11476 11477 11478 11609 11610

Lego project thumbnail

Object Detection

Lego

by Lorenzo Canciani

1k images12

10197 10247 10884 10928 11090 11203 11208 11209 11211 11212 11213 11214 11215 11253 11458 11476 11477 11478 11609 11610

ocr-numeric-2 project thumbnail

Object Detection

ocr-numeric-2

6.71k images

.481 .5160 .721 .725 .766 .767 .771 .772 .775 .776 .777 .778 .779 .780 .781 .782 .783 .784 .785 .786

OCR-handwritten project thumbnail

Object Detection

OCR-handwritten

693 images

.778 .780 .781 .782 .783 .784 .786 .795 0 0.7 0.778 0.782 0.785 000000 000554 000655 000725 001287 001750 001830

LEGO Detection 4 project thumbnail

Object Detection

LEGO Detection 4

by CV

567 images1 model2

10197 10247 10884 10928 11090 11203 11208 11209 11211 11212 11213 11214 11215 11253 11458 11476 11477 11478 11609 11618

word-level project thumbnail

Object Detection

word-level

by ocr

5.75k images

.738 .760 .772 .776 .777 .778 .78 .780 .781 .782 .783 .784 .785 .786 .787 .788 .789 .79 .790 .791

test project thumbnail

Object Detection

test

12.4k images

0 1 10 10000 10004 10012 10015 10017 10024 10032 10043 10045 10052 10053 10108 10109 10112 10116 10124 10127

LEGO Detection project thumbnail

Object Detection

LEGO Detection

1k images3

10197 10247 10884 10928 11090 11203 11208 11209 11211 11212 11213 11214 11215 11253 11458 11476 11477 11478 11609 11610

3000-4000 project thumbnail

Object Detection

3000-4000

47 images

3100 3200 3300 3400 3500 3600 3700 3800 3900 4000 4100 4200 4300 4400 4500 4600 4700 4800 4900 5000

Text project thumbnail

Object Detection

Text

by Khmer Data Annotation Tool

3.09k images3 models

label object "កសាងរដ្ឋាភិបាលឌីជីថល ដើម្បីលើកកម្ពស់គុណភាពជីវិតនិងទំនុកចិត្ត ប្រជាពលរដ្ឋ "ការចាប់ខ្លួន ការឃុំខ្លួន ការសួរចម្លើយ "កាហ្វេផ្ទះចំការបែបទំនេីប""គីរីរម្យ""គ្រប់សកម្មភាពសេដ្ឋកិច្ចដែលប្រើប្រាស់បច្ចេកវិទ្យាព័ត៍មាន និងចំណេះដឹង "នាយកដ្ឋានគ្រប់គ្រង់ព្រៃឈើ ទេសភាពវប្បធម៍ និងបរិស្ថាន""បេ""បោះពុម្ពភ្លាមយកភ្លាម""ផ្នែកមួយនៃទិន្នផលសេដ្ឋកិច្ចដែលទទួលបានជាចម្បង "សន្សំដើម្បីគោលដៅ"។(19)(1975-1979)(240)(82)(855) 016840620-0888452888 (855) 23 224 782 (ការិយាល័យ ហេដ្ឋានរចនាសម្ព័ន្ធ និងសេវាបច្ចេកវិទ្យាព័ត៍មាន)(ឆាណែល)

test paper detection project thumbnail

Object Detection

test paper detection

47 images

3100 3200 3300 3400 3500 3600 3700 3800 3900 4000 4100 4200 4300 4400 4500 4600 4700 4800 4900 5000

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