like:zadivan/100rinkveida-objektus | Roboflow Universe Search

Object Detection

Circles

by Paul Dippold

137 images 1 classes

Circle

Classification Model

Content Types

by Adam Menges

3816 images 12 classes

3D Architecture Creatures Food Illustrations Interiors Nature Objects People Space Textures Vehicles

Object Detection Model snap

Circles

by SIVA

106 images 1 classes

Circles

Object Detection

GlassYoloV5

by YoloV5 Raw Materials Davit Avetisyan

100 images 1 classes

Glass

Object Detection Model snap yolonas yolonas-s

LAI-V

by LAI

534 images 7 classes

animal background human object 3d-object landscape unknown

Object Detection

Resize_Background

by test

146 images 1 classes

Correct

Object Detection

detection

by Objectdetection

176 images 28 classes

book bottle car cellphone chair computer door glass hand keyboard laptop monitor motorcycle mouse mug notebook paper person potted plant table

Object Detection

by s

936 images 13 classes

Animal Bag Bike Car Cat Chair Cups Cutlery Dog Fruits Laptop Person Vase

Object Detection Model snap

car model

by Class 10

792 images 37 classes

auto bike book bus camera car cat chair cloth dog door glass keyboard laptop mouse pen pencil phone pole sofa

Object Detection yolov5

Test1.0

by test

578 images 17 classes

Backpack Bicycle Bottle Car Cell Phone Chair Clock Cup Fan Glass Keyboard Laptop Monitor Mouse Pen Person Table

Object Detection

deployment_test

by arielsolomon

49 images 30 classes

basketball bird boat bus car chair chicken cup dolphin flower guitar house lamp laptop leaf monkey person phone pig pizza

Instance Segmentation

BMC-V2

by Inovako Demo Project

60 images 3 classes

bardak catal makas

Object Detection

RawMaterialsYoloV5(DatasetVersion1)

by YoloV5 Raw Materials Davit Avetisyan

513 images 5 classes

Concrete Glass Metal Plastic Woods

Object Detection

RawMaterialsYoloV5(DatasetVersion1) 2

by YoloV5 Raw Materials Davit Avetisyan

513 images 5 classes

Concrete Glass Metal Plastic Woods

Classification

project_class

by project1

2770 images 2 classes

Unlabeled train2017

Object Detection

Tugas 3 Visikom

by Abyan Caesario

107 images 3 classes

Ball Ball-and-player Player

Object Detection Model snap

project

by project1

3026 images 28 classes

apple bag banana bicycle bird boat book bottle bus car cat chair clock cup dog keyboard laptop light monkey motorbike

Object Detection Model snap

Blue Topic

by 2024 2nd Sem Azeez Melzhad J Lerios 3A

100 images 1 classes

Blue

Object Detection

MetalsYoloV5

by YoloV5 Raw Materials Davit Avetisyan

100 images 1 classes

Metal

Object Detection

MetalsYoloV5.1

by YoloV5 Raw Materials Davit Avetisyan

100 images 1 classes

Metal

Object Detection

ring-spoon-umbrella-facemask detection

by Nicole Dela Pea

409 images 4 classes

ring spoon umbrella facemask

Object Detection Model

person

by MSC onlab 1

2246 images 1 classes

person

Object Detection

test

by gabriel paffi

62 images 9 classes

banana tennis ball 0 Pen anse mugs rubikscube spray bottle tennis

Object Detection

10_objects

by gabriel paffi

62 images 8 classes

banana tennis ball 0 anse mugs rubikscube spray bottle tennis

Object Detection

yolo_object_detection

by YOLOOBJECTDETECTION

42 images 6 classes

car flower person rose scissor super_car

Object Detection Model snap yolov8 yolov8s

objectdetect

by RMMCMI

224 images 35 classes

bag book bottle car cellphone chair computer door fan fire extinguisher hand keyboard laptop monitor motorcycle mouse mug notebook paper pen

Object Detection

fruits

by vision gloves

2540 images 20 classes

bag book bottle chair laptop mobile paper shoe socket stick table toothbrush vegetable wallet watch earphone fruits keys spectacles stationary

Object Detection

Prakses.darbs

by prakse

100 images 1 classes

circle

Object Detection

monPremierDataset

by Arthur Workspace

550 images 10 classes

bottle cellphone computer glass keyboard mouse notebook pen person documents

Object Detection

UROP

by wilberttyh@gmail.com

1350 images 8 classes

pen tennis ball water bottle 0 1 2 3 ]