Related Objects of Interest: angle , radius , roughness , thread , concentricity , perpendicularity , flatness , runout , total runout , length

1 - 50 of 500k+

Top Diameter Datasets and Models

The datasets below can be used to train fine-tuned models for diameter 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 diameter datasets below.

Object Detection

testing

GDT

906 images 8 classes

Basic angle diameter dim gdt radius roughness thread

Object Detection

Train_Balloon

GDT

635 images 13 classes

angle basic counterbore countersink depth diameter dim gdt places radius reference roughness thread

Object Detection Model

LS-stolper

lsstolper

185 images 12 classes 2 models

Bardun Bottom Brace Diameter Ground-wire LS-pole LS-poly-pole Line Line attachment Streve Top Trafo

Object Detection

symbol

GDT

3.4k images 27 classes

Angle Angularity Circularity Concentricity Counterbore Countersink Cylindricity Datum Depth Diameter Flatness LMC Line_surface Linearity MMC Minut Parallelism Perpendicularity Place Position

Object Detection

New_ED

GDT

878 images 9 classes

Basic angle depth diameter dim gdt radius roughness thread

Object Detection

text

GDT

1.3k images 8 classes

text angle diameter minmax nomtol place radius value

Object Detection Model yolonas-s yolonas

sym

Bubbleling

74 images 15 classes 1 model

circularrunout concentricity counterbore countersink cylindricity depth diameter flatness parallelism perpendicularity position surface symbol tolerance total runout

Object Detection

Merge_places

SymbolDetection

742 images 12 classes

angle basic counterbore countersink depth diameter dim gdt radius reference roughness thread

Object Detection

symbol_detections

Training

98 images 16 classes

ABC ANGLE ANGLE_TOL DEPTH_TOL DIAMETER DIM_MIN_MAX DIM_TOL GDT LINEAR LINEAR_MIN_MAX NOM_TOL NOTE RADIUS RADIUS_MIN_MAX RADIUS_TOL dataset

Object Detection Model snap

ASTIMP

Ast IMP

31 images 6 classes 1 model

Bacterial-diameter Inner Circle InnerCircle NA Outer Circle OuterCircle

Object Detection

Cap Inspection

109 images 8 classes

Brightness Colour Diameter Good production Ovality Quality Rejection Total production

Object Detection

SamarthsAnnotations

Samarth

467 images 16 classes

Angle Centrality Chamfer Concentricity Diameter GroupedRoughness Length Parallelity Perpendicularity Radius Roughness Runout Thread Thread-UNC- Total Runout True Position

Object Detection Model

Geo-Circle

Achal Mate

89 images 6 classes 1 model

Circle-chord Circle-diameter Circle-diameter-Square Sqaure-Diagonal cord diameter

Object Detection

Silken

Vieyraweb

88 images 13 classes

arrow angularity axis centricity concentricity diameter grade line tollerance parallel perpendicular rectitude surface tollerance total oscilation trapezoidal

Object Detection Model

MLv1

414 images 12 classes 2 models

Bardun Bottom Brace Diameter Ground-wire LS-pole LS-poly-pole Line Line attachment Streve Top Trafo

Object Detection Model snap

GDT_DeepLearning

Manish Bendale

6.8k images 19 classes 1 model

18 Angle Centrality Chamfer Concentricity Diameter Flatness GroupedRoughness Length Parallelity Perpendicularity Radius Roughness Runout Thread Thread-UNC- Total Runout True Position UNC Thread

Object Detection Model snap

Symbols

Deep Learning Projects

1.8k images 18 classes 1 model

18 Angle Centrality Chamfer Concentricity Diameter Flatness GroupedRoughness Length Parallelity Perpendicularity Radius Roughness Runout Thread Thread(UNC) Total Runout True Position

Object Detection Model snap

Bubbling_Manish_Bendale

Bubbling

6.8k images 19 classes 1 model

18 Angle Centrality Chamfer Concentricity Diameter Flatness GroupedRoughness Length Parallelity Perpendicularity Radius Roughness Runout Thread Thread-UNC- Total Runout True Position UNC Thread

Object Detection snap

12.60mm_Hole_Inspection

1260 Hole Inspection

180 images 4 classes

1260-Miss-Process Chip Diameter-4mm-Miss-Process Good

Object Detection Model snap

gdt_Detection

OBJDetectopm

6.5k images 20 classes 1 model

Object Detection Model snap

TrainingLabels

Samarth

817 images 17 classes 1 model

Angle Centrality Chamfer Concentricity Diameter Flatness GroupedRoughness Length Parallelity Perpendicularity Radius Roughness Runout Thread Thread(UNC) Total Runout True Position

Object Detection

symb

Training

325 images 15 classes

Angularity Circularity Concentricity Cylindricity Diameter Flatness Line_surface Linearity Parallelism Perpendicularity Position Runout Surface Symetricity Total_Runout

74 images 2 classes

Diameter 4.00mm Miss Process

1260 Hole Inspection

45 images 1 class

Diameter-4mm-Miss-Process

Object Detection

labelling

Bubbling

3k images 36 classes

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

Object Detection

Amazon Extraction

Feature Extraction

80 images 14 classes

Measurements area breadth depth height inner-diameter length maximum-weight-recommendation outer-diameter voltage volume wattage weight width

Object Detection

30data_new

Data Label

29 images 8 classes

angle basic diameter dim gdt places radius roughness

Object Detection

place_merge_data

Data Label

7.4k images 12 classes

angle basic counterbore countersink depth diameter dim gdt radius reference roughness thread

Object Detection

Maße erkennen 2D Zeichnung

Daten aus technischer zeichnung erkennen

7.4k images 12 classes

angle basic counterbore countersink depth diameter dim gdt radius reference roughness thread

1 - 50 of 500k+

Top Diameter Datasets and Models

The datasets below can be used to train fine-tuned models for diameter 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 diameter datasets below.

The datasets below can be used to train fine-tuned models for diameter 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 diameter datasets below.