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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:

==============================the following augmentation was applied to create 3 versions of each source image:the following pre-processing was applied to each image:roboflow is an end-to-end computer vision platform that helps you - collaborate with your team on computer vision projects

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

# 4. Get your results
print(result)

Top Random Datasets and Models

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

Related Objects of Interest:

==============================the following augmentation was applied to create 3 versions of each source image:the following pre-processing was applied to each image:roboflow is an end-to-end computer vision platform that helps you - collaborate with your team on computer vision projects

random-objects project thumbnail

random-objects

by Singapore3000

117 images

empty chicken coup photos - Google Search random

predator-detection project thumbnail

predator-detection

597 images

filterplans project thumbnail

filterplans

84 images1 model1

Conference apartement bathroom office random stairs

2 project thumbnail

Object Detection

2

by Jrs Workspace

100 images

apple banana bottle bowl box cake camera car chair computer cup fork glass glass bottle gun keyboard lamp laptop monitor mouse

Jr's Project project thumbnail

Object Detection

Jr's Project

by Jrs Workspace

46 images

apple bottle bowl cake camera car chair computer cup fork glass keyboard lamp laptop monitor mouse mug oven pizza plate

Sidewalk Quality project thumbnail

Object Detection

Sidewalk Quality

by Ali

995 images3 models3

Car Flat Obstacle Grass Gravel Light Pole Person Potential Hole Random obstacle Tree

TrashureV2 project thumbnail

Object Detection

TrashureV2

by zoras Workspace

2.59k images

empty glass-bottle glass-bottle-reject leaves metal-cans paper-box paper-cup plastic-bottle random shoes slippers

Test-001 (idektep) project thumbnail

Object Detection

Test-001 (idektep)

by Ksalmons Workspace

31 images

Adult guy Adult women Apple Bag Banna Bottle Boy Bread Burger Camera Cup Egg Food box Food dish Fries Girl Keyboard Lamp Meat sandwich Monitor

company-classification project thumbnail

company-classification

1.65k images1

Bakery Bar Buffet Casinos Hotel Quick_Service Random Resort

Waste Detector project thumbnail

Object Detection

Waste Detector

251 images

cardboard glass Metal Paper Plastic Random Trash

Teste2Roboflow project thumbnail

Object Detection

Teste2Roboflow

1.77k images1 model11

can cellphone glove metal plastic sunglasses tire Mask electronics gbottle net pbag pbottle random

Days 01 Klasifikasi project thumbnail

Object Detection

Days 01 Klasifikasi

by Muhammad Sufi Aulia

1

202 images3 models1

Alat Tulis Bangku Berdiri Buku Duduk Guru Laki2 Meja Minuman Orang Random Rebahab Siswa Tas Wanita siswa-guru-buku-tas

gravel classfication project thumbnail

gravel classfication

3.06k images1 model

10mm 20mm 40mm 5mm random

Test revamp project thumbnail

Object Detection

Test revamp

1.24k images

- Auto-contrast via adaptive equalization - Auto-orientation of pixel data (with EXIF-orientation stripping)- Grayscale (CRT phosphor)- Random Gaussian blur of between 0 and 1 pixels - Randomly crop between 0 and 20 percent of the image - Resize to 640x640 (Stretch)- Salt and pepper noise was applied to 1-96 percent of pixels - collaborate with your team on computer vision projects - understand and search unstructured image data - use active learning to improve your dataset over time 26 27 28 ==============================A-b-c are annotated in YOLOv11 format-Innovate grind - v7 2025-03-23 2:02pm Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1240 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:

YOLOv11 project thumbnail

Object Detection

YOLOv11

6.72k images1 model

bridge car park tank bunker random tant

sugtoolsss project thumbnail

Instance Segmentation

sugtoolsss

692 images

* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping)* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Equal probability of one of the following 90-degree rotations: none, clockwise, upside-down * Random Gaussian blur of between 0 and 1.6 pixels * Random Gaussian blur of between 0 and 10.2 pixels * Random brigthness adjustment of between -40 and +40 percent * Random brigthness adjustment of between -53 and +53 percent * Random exposure adjustment of between -27 and +27 percent * Random exposure adjustment of between -41 and +41 percent * Random rotation of between -35 and +35 degrees * Random rotation of between -45 and +45 degrees * Random shear of between -16° to +16° horizontally and -22° to +22° vertically * Random shear of between -37° to +37° horizontally and -29° to +29° vertically * Randomly crop between 22 and 61 percent of the bounding box * Randomly crop between 5 and 18 percent of the image * Resize to 640x640 (Stretch)* Salt and pepper noise was applied to 0.81 percent of pixels * Salt and pepper noise was applied to 4.62 percent of pixels

Gravel project thumbnail

Object Detection

Gravel

by objectdetection

1.93k images

10 20 40 5 obj random

TCC project thumbnail

Instance Segmentation

TCC

by Ali

26 images

tree Acessibility Spot Gravel High Sidewalk Light Pole Pole Random Object Sidewalks

BAHASA ISYARAT project thumbnail

Object Detection

BAHASA ISYARAT

by BAHASA ISYARAT

746 images

- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random Gaussian blur of between 0 and 4-9 pixels - Random brigthness adjustment of between -25 and +25 percent - Random exposure adjustment of between -15 and +15 percent - Random rotation of between -15 and +15 degrees - Random shear of between -15° to +15° horizontally and -15° to +15° vertically - Salt and pepper noise was applied to 1-96 percent of pixels - collaborate with your team on computer vision projects - understand and search unstructured image data - use active learning to improve your dataset over time ==============================Bahasa Isyarat - v2 2025-11-04 6:43pm Bahasa-Isyarat are annotated in YOLOv11 format-Roboflow is an end-to-end computer vision platform that helps you The dataset includes 748 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks

My First Project project thumbnail

Object Detection

My First Project

143 images

Johnnie Other animals Random cat

Random Object 2 project thumbnail

Random Object 2

758 images

plate project thumbnail

Object Detection

plate

1.38k images

- Auto-orientation of pixel data (with EXIF-orientation stripping)- Random Gaussian blur of between 0 and 1 pixels - Random brigthness adjustment of between -25 and +25 percent - Random rotation of between -15 and +15 degrees - Resize to 200x70 (Stretch)- Salt and pepper noise was applied to 1-94 percent of pixels - collaborate with your team on computer vision projects - understand and search unstructured image data - use active learning to improve your dataset over time 0-1-2-3-4-5-6-7-8-9-A-B-C-D-E-G- are annotated in YOLOv8 format-==============================Persian Plates Digits - v2 2024-10-21 4:41am Roboflow is an end-to-end computer vision platform that helps you The dataset includes 1375 images-The following augmentation was applied to create 3 versions of each source image:The following pre-processing was applied to each image:visit https:--github-com-roboflow-notebooks

TCC2 project thumbnail

Instance Segmentation

TCC2

by Ali

878 images

Acessibility Spot Car Friendly obstacle Grass Gravel High Sidewalk Hole Light Pole Random obstacle Someone Tactile paving

My First Project project thumbnail

Object Detection

My First Project

by Ai macro Arcane Lineage

59 images1 model

Everthistle Random Sh

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