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P_Fase_1_v2 Computer Vision Project

PFASE1V2

Updated 7 months ago

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Object Detection Model snap
Classes (125)
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)
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AGS Medikal Implant
AMerOss Implant
Abscess
Amalgam filling
Anthogyr Implant
Attrition
Bicon Implant
BioHorizons Implant
BioLife Implant
Biomet 3i Implant
Blue Sky Bio Implant
Bone loss
Calculus
Camlog Implant
Caries
Composite filling
Cowellmedi Implant
Crown
Cyst
DENTSPLY Implant
Dentatus Implant
Dentis Implant
Dentium Implant
Euroteknika Implant
Filling
Fracture line
Frontier Implant
Furcation
Hiossen Implant
Impacted
Implant
Implant Direct
Keystone Dental Implant
Leone Implant
MIS Implant
Mandible
Maxilla
Megagen Implant
Neodent Implant
Neoss Implant
Nerve
No image augmentation techniques were applied.
Nobel Biocare Implant
Novodent Implant
NucleOSS Implant
OCO Biomedical Implant
OsseoLink Implant
Osstem Implant
Prefabricated metal post
Prosthesis
Retained root
Roboflow is an end-to-end computer vision platform that helps you
Root Canal
Root canal filling
Root canal obturation
Root canal treated
Root piece
Sinus
Sterngold Implant
Straumann Implant
Teeth-mysS are annotated in COCO format.
The dataset includes 3225 images.
The following pre-processing was applied to each image:
Titan Implant Implant
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
Zimmer Implant
caries
impaction
restoration
root stump
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visit https://github.com/roboflow/notebooks

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            p_fase_1_v2_dataset,
                            title = { P_Fase_1_v2 Dataset },
                            type = { Open Source Dataset },
                            author = { PFASE1V2 },
                            howpublished = { \url{ https://universe.roboflow.com/pfase1v2/p_fase_1_v2 } },
                            url = { https://universe.roboflow.com/pfase1v2/p_fase_1_v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-12-22 },
                            }

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