100 - 150 of 500k+

Top 2 Datasets and Models

The datasets below can be used to train fine-tuned models for 2 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

At the bottom of this page, we have guides on how to train a model using the 2 datasets below.

Semantic Segmentation Model

Fire segment

project-qsvyd

1k images 6 classes 1 model

0 1 2 3 4 5

Semantic Segmentation

severstal-steel-defect-semantic-segmentation

daniil.khoroshev.pmi@gmail.com

6.7k images 4 classes

class-1 class-2 class-3 class-4

Semantic Segmentation Model

yolovv8

4.9k images 3 classes 1 model

0 1 2

Semantic Segmentation

numberss

Mateusz Tobiasz

720 images 10 classes

0 1 2 3 4 5 6 7 8 9

Semantic Segmentation

V38Train

Ku Project

1.9k images 4 classes

object 0 1 2

Semantic Segmentation

Version38

Ku Project

111 images 4 classes

object 0 1 2

Semantic Segmentation

FishGrammerTailHeadsemanticSemantic

Akif Drs

1.6k images 3 classes

0 1 2

Semantic Segmentation Model

Bikes

Augmaa

1.5k images 7 classes 1 model

1 13 2 3 5 7 9

Semantic Segmentation

hbce2

tEST

93 images 5 classes

1 2 3 4 5

Semantic Segmentation

college

463 images 7 classes

1 2 3 4 5 6 7

Semantic Segmentation

hbce

tEST

93 images 7 classes

1 2 3 4 5 6 7

Semantic Segmentation

Tennis Lines Advanced

test

41 images 4 classes

1 2 3 4

Semantic Segmentation Model

lane detection

ADAS

40 images 2 classes 1 model

lane lane 2

Semantic Segmentation

PVsegment

DatasetsCV

2.5k images 4 classes

2 3 4 classes = 4

Semantic Segmentation

Detectarcañaconfaltadefierro

Ariel

198 images 2 classes

object sugar-cane - v2 2024-02-16 2:29pm

Semantic Segmentation Model

123

838 images 7 classes 1 model

field 1 2 3 5 6 orchard

Semantic Segmentation Model

Intra Oral Semantic Segmentation

IntraOral

172 images 5 classes 1 model

0 1 2 3 4

Semantic Segmentation

建筑物立面纹理模型

111

62 images 59 classes

1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 24 25 26 27 28

Semantic Segmentation

Tennis Lines 2

test

29 images 3 classes

1 2 3

Semantic Segmentation

segmentation

IntraOral

172 images 5 classes

1 2 3 4 5

Semantic Segmentation

car segment

Tin t

168 images 3 classes

0 1 2

Semantic Segmentation

Tennis Lines

test

40 images 3 classes

1 2 3

Semantic Segmentation

汽车

prince

2.4k images 12 classes

0 1 10 11 2 3 4 5 6 7 8 9

Semantic Segmentation

Angiography

Finalthesis

2.9k images 26 classes

1 10 10a 11 12 12a 12b 13 14 14a 14b 15 16 16a 16b 16c 2 3 4 5

Semantic Segmentation

aerial

diplom

399 images 20 classes

0 1 10 12 13 15 16 17 18 19 2 20 21 22 23 3 4 7 8 9

Semantic Segmentation

IntraOral

172 images 5 classes

1 2 3 4 5

Semantic Segmentation Model

Tennis Lines 3

test

61 images 3 classes 1 model

1 2 3

Semantic Segmentation

Crack-wall-detection

crackwall

4k images 2 classes

object crack - v2 2022-09-29 2:14pm

Semantic Segmentation

Billets 3.0

tester

84 images 5 classes

Billet Strand 1 Billet Strand 2 Billets No billet Strand 1 No billet strand 2

Semantic Segmentation

autokary2

Enem

1.3k images 24 classes

1 10 11 12 13 14 15 16 17 18 19 2 20 21 22 23 24 3 4 5

Semantic Segmentation

car_detection

Buntykapython

929 images 10 classes

car 0 1 2 3 4 5 6 7 cars

Semantic Segmentation

toy

lin

29 images 5 classes

0 1 2 3 4

Semantic Segmentation

Segm 2

Haritonova Julia

26 images 1 class

Cat-2

Semantic Segmentation

balls

yolov8

146 images 20 classes

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

Semantic Segmentation Model snap yolonas yolonas-s

Instructions

Thesis Project

2.9k images 242 classes 3 models

bottle water + 0 0.25mg 0.2mg 0.3mg 0.4mg 0.5mg 0.5ml 0.6mg 0.6ml 1 1 cap 1 capsule 1 tsp 1-2 1.25mg 1.2ml 1.5mg

Semantic Segmentation Model

Sugarcane Gap Farm

Sugarcane

202 images 15 classes 1 model

10 11 12 13 13 0.11876989062500001 0.7029684031250001 0.021563703125 0.8592647890625 0.0580160890625 0.9860384968749999 0.14133550781249998 0.9999315671875 0.087525028125 0.8418985156250001 0.20035351562499998 0.727281078125 0.39650155468750004 0.6543427234375 0.4832926984375 0.577931096875 0.61347941875 0.484153265625 0.7124214015625 0.3417498203125 0.8044198046875 0.20108300781250002 0.8564944921875 0.17329696562500002 0.9641157234375 0.1906632390625 0.9988321828125001 0.15419412500000002 0.9878471828125001 0.0894097234375 0.702006359375 0.17677020000000002 0.5735554375 0.47026019531249996 0.30450289062499997 0.6005072390625 0.11876989062500001 0.7029684031250001 2 0 0 0 1 1 1 1 0 0 0 3 3 0.4984375 0.4984375 0.99609375 0.99609375 4 5 6 7 8 9 gap-in-farm-sugarcane

Semantic Segmentation

Vehicle Detection 2

Vehicle Detection

134 images 5 classes

0 1 2 3 4

Semantic Segmentation

Water Segmentation

WaterSegmentation

9.2k images 4 classes

object water Water Segmentation - v8 2024-01-15 2-51pm pond

Semantic Segmentation Model

training

64 images 35 classes 1 model

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

Semantic Segmentation

car_detection

Abdul Basit

929 images 10 classes

car 0 1 2 3 4 5 6 7 cars

Semantic Segmentation

New Workspace

74 images 7 classes

1 2 3 4 5 6 7

Semantic Segmentation

ALe

151 images 8 classes

0 1 2 3 Broadleaf-logs Broadleaf-ltter Conifer-litter Conifer-logs

Semantic Segmentation

lee

leedaegyu

326 images 2 classes

2 3

Semantic Segmentation

Medical image augmentation

Fetal Abnormalities

294 images 3 classes

0 1 2

Semantic Segmentation

rice

Nam

52 images 10 classes

rice 1 2 3 4 5 6 7 8 9

100 - 150 of 500k+

Top 2 Datasets and Models

The datasets below can be used to train fine-tuned models for 2 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats. At the bottom of this page, we have guides on how to train a model using the 2 datasets below.

The datasets below can be used to train fine-tuned models for 2 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.

At the bottom of this page, we have guides on how to train a model using the 2 datasets below.