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Project Type

Object Detection

Classification

Instance Segmentation

+3

Model Type

RF-DETR

YOLO26

YOLOv11

YOLOv8

YOLO-NAS

+4

Classes

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Try 9 Detection API

Run on custom image

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# 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": "9"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Top 9 Datasets and Models

The datasets below can be used to train fine-tuned models for 9 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

Related Objects of Interest:

hash ==============================

20 peixes automático 2 project thumbnail

Object Detection

20 peixes automático 2

by 20 peixes automatico

199 images

fish 0 10 15 2 4 6 9

1-20 project thumbnail

Object Detection

1-20

7.7k images12

0 1 10 11 12 13 14 15 16 17 18 19 2 3 4 5 6 7 8 9

user1-20 project thumbnail

Object Detection

user1-20

2.1k images6

1 10 100 101 102 103 104 105 106 107 108 109 11 110 111 112 113 114 115 116

136 más 20 project thumbnail

Object Detection

136 más 20

156 images2 models

0 1 2 3 4 5 6 7 8 9

20-02-2023- project thumbnail

Object Detection

20-02-2023-

by ztjdhbuomgsmvpdx jdvpuoaupjuolfys

2.05k images15

dot 0 1 2 3 4 5 6 7 8 9 A B C D E F G H I

20-11-25 project thumbnail

Object Detection

20-11-25

by J

2.14k images

==============================call_det - v1 2025-04-21 9:04pm

compal 20 1015 project thumbnail

Instance Segmentation

compal 20 1015

by AN

468 images1 model

1 10 11 12 13 14 15 16 17 18 19 2 20 21 3 4 5 6 7 8

surgical instrument old 20 project thumbnail

Instance Segmentation

surgical instrument old 20

by AN

400 images1 model

1 10 11 12 13 14 15 16 17 18 19 2 20 3 4 5 6 7 8 9

ocr-character-current-20 project thumbnail

Object Detection

ocr-character-current-20

2.42k images3 models2

-0 1 2 3 4 5 6 7 8 9 A B C D E F G H I

SMD NIR VIS_Onboard 20 skips project thumbnail

Object Detection

SMD NIR VIS_Onboard 20 skips

by My Workspace

1.49k images

0 1 10 2 3 4 5 6 7 9

aug-ori-label-80-20 project thumbnail

Object Detection

aug-ori-label-80-20

by ARPAN BISWAS

900 images1

1 10 100 101 102 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24

2 project thumbnail

Object Detection

2

by

30 images1

2-1-1 2-1-10 2-1-2 2-1-3 2-1-4 2-1-5 2-1-6 2-1-7 2-1-8 2-1-9 2-2-1 2-2-10 2-2-2 2-2-3 2-2-4 2-2-5 2-2-6 2-2-7 2-2-8 2-2-9

2 project thumbnail

Object Detection

2

127 images1

0 1 2 3 4 5 6 7 8 9

2 project thumbnail

Object Detection

2

by 2

4

9.32k images1 model21

-0--1--2--3--4--5--6--7--8--9-0 00 01 02 03 04 05 06 07 08

2 project thumbnail

Object Detection

2

by New Workspace

1.37k images

0 1 2 3 4 5 6 7 8 9 9/*[b d ein fgh g gh h l

2 project thumbnail

2

6.63k images

1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26 27

2 project thumbnail

Object Detection

2

by 1

1k images

0 1 10 11 12 13 14 15 16 2 3 4 5 6 7 7_d 7_t 8 9

2 project thumbnail

Object Detection

2

46 images1

fruit 0 1 10 13 14 15 17 18 19 20 22 23 24 25 26 27 28 29 3

2 project thumbnail

Object Detection

2

by 1

2.61k images6

object 0 1 10 11 12 13 14 15 16 2 3 4 5 6 7 8 9

2 project thumbnail

Object Detection

2

50 images

2 project thumbnail

Object Detection

2

9.96k images1 model2

coca cola coke juice mountain dew mug pepsi sprite 0 1 10 11 12 13 14 15 16 17 18 19 2

2 project thumbnail

Object Detection

2

303 images2

0 1 2 3 4 5 6 7 8 9

2 project thumbnail

Object Detection

2

by

880 images2

* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 416x416 (Stretch)10 9 ==============================Ingredientsdataset are annotated in YOLO v5 PyTorch format.It includes 905 images.No image augmentation techniques were applied.The following pre-processing was applied to each image:This dataset was exported via roboflow.ai on May 30, 2021 at 10:39 AM GMT ingredients_dataset - v4 ingredients_data_meet_add

2 project thumbnail

Object Detection

2

195 images

-0 1 10 100 101 102 103 104 105 106 107 108 109 11 110 111 112 113 114

2 project thumbnail

Object Detection

2

by ZZ

2.32k images

0 1 2 3 4 5 6 7 8 9

2 project thumbnail

Object Detection

2

3.38k images

-0 1 2 3 4 5 6 7 8 9 A C D E F G H M N

2 project thumbnail

2

by Rohit Kukreja

900 images

1 10 100 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26

2 project thumbnail

Object Detection

2

94 images

1 2 5 7 8 88 9 99

2 project thumbnail

2

571 images

2 project thumbnail

Object Detection

2

240 images1

0 1 11 12 13 14 16 18 2 20 22 25 26 27 28 3 37 38 39 4

2 project thumbnail

Object Detection

2

885 images

0: 1m 10: 4p 11: 4s 12: 5m 13: 0m 14: 5p 15: 0p 16: 5s 17: 0s 18: 6m 19: 6p 1: 1p 20: 6s 21: 7m 22: 7p 23: 7s 24: 8m 25: 8p 26: 8s 27: 9m

2 project thumbnail

Object Detection

2

5k images3

1 10 2 3 4 5 6 7 8 9

Papka 2(2) project thumbnail

Object Detection

Papka 2(2)

3.07k images2

1 10 2 3 4 5 6 7 8 9

OCR 2 project thumbnail

Object Detection

OCR 2

1

9.67k images22

0 1 2 3 4 5 6 7 8 9

VIN 2 project thumbnail

Object Detection

VIN 2

1

935 images15

0 1 2 3 4 5 6 7 8 9 A B C D E F G H I J

LP 2 project thumbnail

Object Detection

LP 2

1

1.91k images14

0 1 10 2 3 4 5 6 66 7 8 9 A B C D E F G H

thai_license_plate 2 project thumbnail

Object Detection

thai_license_plate 2

by NuttapatWork

1

3.69k images

0 1 2 3 4 5 6 7 8 9 Amnat Charoen Ang Thong BO_BAIMAI Bangkok Betong Bueng Kan Buri Ram CHO_CHAN CHO_CHANG CHO_CHING

Check-2 project thumbnail

Object Detection

Check-2

by New Workspace

50 images3

0 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 3 4 5

NRF 2 project thumbnail

Object Detection

NRF 2

216 images2

1 10 11 2 3 4 5 6 7 8 9 products

PPE_Annotation 2 project thumbnail

Object Detection

PPE_Annotation 2

345 images

helmet human vest worker 0 1 15 3 5 9 boots no boots no helmet no vest

apple 2 project thumbnail

Object Detection

apple 2

133 images1 model5

applemt - v2 2023-12-22 9:31am

number_gray_light_up 2 project thumbnail

Object Detection

number_gray_light_up 2

by number identify

2.95k images2

-0 1 2 3 4 5 6 7 8 9 A B C D E F G H I

captcha-2 project thumbnail

Object Detection

captcha-2

5.08k images

0 1 2 3 4 5 6 7 8 9 <=>?@A B C D E

COCO128-2 project thumbnail

Object Detection

COCO128-2

by GM

128 images3

0 1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 25 26

lbl 2 project thumbnail

Object Detection

lbl 2

by a

4.09k images

0 1 2 3 4 5 6 7 8 9 A B C D E F G H I J

matricule_number_detection_none 2 project thumbnail

Object Detection

matricule_number_detection_none 2

by ed

344 images

back front 0 1 2 3 4 5 6 7 8 9 none

trucks-2 project thumbnail

Object Detection

trucks-2

7.55k images3

0 1 2 3 4 5 6 7 8 9

pests-2 project thumbnail

Object Detection

pests-2

by OCR

9.51k images

0 1 10 100 101 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24

mdp 2 project thumbnail

Object Detection

mdp 2

180 images

1 2 3 4 5 6 7 8 9 A B Bullseye C Circle D Down_arrow E F G H

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