EngApp

EngApp 2

Object Detection

EngApp 2 Computer Vision Project

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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{
                            engapp-2_dataset,
                            title = { EngApp 2 Dataset },
                            type = { Open Source Dataset },
                            author = { EngApp },
                            howpublished = { \url{ https://universe.roboflow.com/engapp/engapp-2 } },
                            url = { https://universe.roboflow.com/engapp/engapp-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-03-05 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the EngApp 2 project in your project.

Source

EngApp

Last Updated

5 months ago

Project Type

Object Detection

Subject

updateobject-2AGX

Classes

0 000001_Airplane 000031_Truck 000032_Bus 000047_ Chair 000048_ Bookshelf 000056_ Tivi 000057_Dog 000058_Cat 000061_Bee 000062_Fly 000063_Spider 000066_Sparrow 000068_Chicken 000069_Starling 000072_Rabbit 000073_Cow 000074_Buffalo 000075_Stork 000080_Cockroach 000081_Human 000083_Butterfly 000087_Snake 000141_SmartPhone 000142_Charger 000151_Pen 000152_Lipstick Backpacks Eagle Goat Horses Iguana Indian-Peafowl Monkey Parrot Python Salamander Squirrel Tie UmbrellaDetection ant bank bat colossal_squid crocodile crow elephant frisbee giraffe handBags hippopotamus n02130308 owls parking meter pig scorpion sheep ship skis snowboard soccer ball stop sign suitcase tennis-ball traffic light train yolo

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License

CC BY 4.0

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