Abdulghani M Abdulghani

custom-dataset-for-pedestrians-and-automobile-detection-2

Instance Segmentation

Roboflow Universe Abdulghani M Abdulghani custom-dataset-for-pedestrians-and-automobile-detection-2
2

custom-dataset-for-pedestrians-and-automobile-detection-2 Computer Vision Project

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Images

10702 images
Explore Dataset

This dataset containe over 10,000 images for (Person, Car, Bus, Motorcycle) I the dataset have been collected from Open-Image dataset. I used this dataset to train YOLOv7 and able to get mAP@50 76, Precision 71, and F1-Score 74, with 80 Epoches with local GPU Nivida RTX 3080 Laptop GPU.

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{
                            custom-dataset-for-pedestrians-and-automobile-detection-2-srryd_dataset,
                            title = { custom-dataset-for-pedestrians-and-automobile-detection-2 Dataset },
                            type = { Open Source Dataset },
                            author = { ABDULGHANI ABDULGHANI },
                            howpublished = { \url{ https://universe.roboflow.com/abdulghani-m-abdulghani/custom-dataset-for-pedestrians-and-automobile-detection-2-srryd } },
                            url = { https://universe.roboflow.com/abdulghani-m-abdulghani/custom-dataset-for-pedestrians-and-automobile-detection-2-srryd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-20 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

a month ago

Project Type

Instance Segmentation

Subject

Objects-collection-lFhc

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License

Public Domain