Roboflow Universe Bharath Balaji E plc input5

plc input5 Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

6834 images

Explore Dataset

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            plc-input5_dataset,
                            title = { plc input5 Dataset },
                            type = { Open Source Dataset },
                            author = { Bharath Balaji E },
                            howpublished = { \url{ https://universe.roboflow.com/bharath-balaji-e-bc5eu/plc-input5 } },
                            url = { https://universe.roboflow.com/bharath-balaji-e-bc5eu/plc-input5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-05-10 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the plc input5 project in your project.

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

Bharath Balaji E

Last Updated

2 years ago

Project Type

Object Detection

Subject

input

Views: 2

Downloads: 0

License

CC BY 4.0

Classes

000 001 002 003 004 005 006 007 008 012 013 014 015 016 017 018 023 024 025 026 027 028 034 035 036 037 038 045 046 047 048 056 057 058 067 068 078 123 124 125 126 127 128 134 135 136 137 138 145 146 147 148 156 157 158 167 168 178 234 235 236 237 238 245 246 247 248 256 257 258 267 268 278 345 346 347 348 356 357 358 367 368 378 456 457 458 467 468 478 567 568 578 678

Object Detection Model