class::000 17 - : | Roboflow Universe Search

Related Objects of Interest: comma , dot , group , received , sent , hand , amongus , bottle , building , car

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Object Detection Model snap yolov5

3

999 images3 models

jermasus sus sus face dude text sus

Instance Segmentation roboflow-3-n-seg

643 images

Object Detection

exp-satirical-image-labelling

500 images

airport angry bag balloon bike book bottle bread bridge building burger can candy car cat cellphone chair chimney cigarette computer

Object Detection

Sylhet Engineering College

47 images

Object Detection Model snap

speech bubble detector

725 images1 model

her_bubble you_bubble

Object Detection

1

959 images

Instance Segmentation

handwrite number

444 images

0 1 2 3 4 5 6 7 8 9

Object Detection Model

39 images1 model

Object Detection Model snap

1

89 images1 model

96 images

Instance Segmentation Model roboflow-3-n-seg

286 images2 models

Object Detection Model snap

2879 images1 model

fan Pencil sneaker

Object Detection Model yolov11 yolov11n

1

Amogus Detection

realtimeamogusdetection

536 images1 model

Object Detection

1

Dataset Format Conversion

45 images

Object Detection

104 images

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

200 images

Color-scheme-Black-and-white-outlines Color-scheme-Black-and-white-with-shading Color-scheme-Color-Panels Text-/-speech-bubble-goes-over-panel-border character-goes-over-panel-border is-cover-panel is-ending-panel mash up of previous stand-alone panels not-a-web-comic panel-border-lines-are-artistically-wobbly panels-contain-text-/-speech photograph-of-a-comic-/-hand-drawn-comics-on-paper single-panel-comic-/-meme

Object Detection

600 images

Object Detection Model yolov11 yolov11n

766 images1 model

currency_writing handwriting handwritten

Classification Model

ADA_HQ_Classifier

sofias workspace

2991 images1 model

Bill Kishimoto Masashi Mauricio Sousa Watterson de

Instance Segmentation

1

100 images

Object Detection Model snap

Person Detection

63 images1 model

Beast Bottle Building Candles Car Cigar Cup Hand Helicopter Mic Person Personbottle Shoe

Object Detection

UNO_DATASET_ECE

124 images

BLUE-CARD GREEN-CARD RED-CARD YELLOW-CARD

Object Detection Model snap

OCR_AlphabetDetect

191 images1 model

dot -0 1 2 3 4 5 6 7 8 9 :A A_U B B_U C C_U D

Object Detection

588 images

group received sent

Object Detection

588 images

group received sent

Object Detection Model

93 images1 model

Object Detection

Text messages 2

593 images

line android facebook group hangouts imessage instagram received sent signal skype snapchat telegram twitter wechat whatsapp

NFT_recongnition

325 images

#0 #0561 #1 #10 #1081 #11 #12 #1237 #13 #14 #1410 #1422 #15 #16 #17 #18 #1827 #19 #2 #20

ADA_HQClassifier_Reduced

sofias workspace

2000 images

Bill Kishimoto Maurício

Object Detection

3

81 images

dot !"#$%&'()*+-/0 1 2 3 4 5

Object Detection

542 images

receiver_message

Object Detection Model

Chat Text Detection

Chat Text Detection

94 images1 model

received-text sent-text

Object Detection Model snap

757 images2 models

line android facebook group hangouts imessage instagram message received sent signal skype snapchat telegram twitter wechat whatsapp

Object Detection

Wojciech Blachowski

607 images

Object Detection Model snap

1

Donatas Puidokas

1027 images1 model

Object Detection

510 images

emoji footer_elements header_elements message_status_indicator receiver_message receiver_name receiver_profile_picture scroll_down_icon sender_message sender_name sender_profile_picture system_message timestamp voice_note

Object Detection

34 images

Object Detection Model yolov8 yolov8s snap

anime textblock detection

2362 images6 models

Object Detection

yolov5 object detection

481 images

0 1 2 3 4 5 6 7 8 9

Object Detection

0

40 images

body header active_nav_bar bottom_nav_bar inactive_nav_bar

Object Detection Model

14

character-detection

alphabettraining

161 images2 models

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

Object Detection Model snap

1

161 images1 model

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

Object Detection Model snap

OCR-AlphaDemo 2

161 images1 model

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

Object Detection

0

Character Recognition

161 images

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

Object Detection

1

character detection

161 images

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

Object Detection

2

training-get-weights

letters and numbers

161 images

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

Object Detection

1

161 images

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

Object Detection

Abhinav kandpal

1788 images

A B C D E L Letters O T V

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