Roboflow Universe Crickets Road_singnal

Road_singnal Computer Vision Project

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

@misc{
                            road_singnal_dataset,
                            title = { Road_singnal Dataset },
                            type = { Open Source Dataset },
                            author = { Crickets },
                            howpublished = { \url{ https://universe.roboflow.com/crickets/road_singnal } },
                            url = { https://universe.roboflow.com/crickets/road_singnal },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-06-18 },
                            }

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Source

Crickets

Last Updated

2 months ago

Project Type

Object Detection

Subject

unknown

Views: 12

Downloads: 1

License

CC BY 4.0

Classes

* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -15 and +15 degrees * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 23 24 25 26 27 28 30 31 32 33 34 35 38 39 40 43 44 45 47 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, India Traffic Sign - v9 2024-01-31 8:37pm Narrow Road Ahead Narrow Road Left Ahead No Entry No Heavy Vehicles No Parking No Stopping No image augmentation techniques were applied. Pedestrian Crossing Pedestrian Prohibited Right Hair Pin Bend Right Hand Curve Roboflow is an end-to-end computer vision platform that helps you The dataset includes 10213 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on March 12, 2024 at 11:43 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com Traffic Sign are annotated in YOLOv9 format. undefined visit https://github.com/roboflow/notebooks

Object Detection Model snap