Roboflow Universe Thesis kichu_ekta

kichu_ekta Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

85 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{
                            kichu_ekta_dataset,
                            title = { kichu_ekta Dataset },
                            type = { Open Source Dataset },
                            author = { Thesis },
                            howpublished = { \url{ https://universe.roboflow.com/thesis-8ezpj/kichu_ekta } },
                            url = { https://universe.roboflow.com/thesis-8ezpj/kichu_ekta },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-12 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the kichu_ekta 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

Thesis

Last Updated

a month ago

Project Type

Object Detection

Subject

chocolate

Views: 13

Downloads: 2

License

CC BY 4.0

Classes

Ahead_Only Axle_Weight_Limit Blind_Persons Cattle Checkpoint Children Cross_Road-Minor_Road_Ahead Crossroad-Majorroad_Ahead Cycles_and_Rickshaws Dangerous_Dip Dangerous_Shoulder Double_Bend_First_Left Dual_Carriageway_Ends Falling_Rocks Ferry Hairpin_Bend_to_Right Height_Limit_Ahead Keep_left Keep_right Loose_Chippings Low_Flying_Aircraft Merge_with_Traffic_from_Right Narrow_Bridge National_Speed_Limit_Apply No_Animal_Drawn_Vehicles No_Cycles No_Entry No_Handcarts No_Left_Turn No_Motor_Vehicles No_Overtaking No_Parking No_Passing_Without_Stopping No_Pedestrians No_Rickshaws No_Stopping No_U_Turn No_Vehicles_Carrying_Explosives No_Vehicles_Over_Length_Shown No_Vehicles_Over_Width_Shown No_trucks No_vehicles_over_height_shown No_vehicles_over_maximum_gross_weight_shown One_Way_Street One_Way_Traffic Other_Danger Pass_Either_Side Pedestrian_Crossing Pedestrians_in_Road_Ahead Railway_Level_Crossing_Without_Gate_or_Barrier Railway_Level_Crossing_with_Gate_or_Barrier Restriction_Ends River_Bank Road_Hump Road_Narrows_in_the_Left Road_Narrows_in_the_Right Road_Narrows_on_both_sides Road_Works Round_About Route_for_Cycles_only Route_for_Rickshaws_only Sharp_Bend_to_the_Left Side_Road_Left Slippery_Road Small_Round_About Special_Speed_Limit Staggered_Junction Steep_Hill_Downwards Steep_Hill_Upwards T_Junction Temporary_Go_Sign Temporary_Stop_Sign Traffic_Marges_from_Left Traffic_Signals Turn_Left Turn_Left_Ahead Turn_Right Turn_right_ahead Two_Way_Traffic_Crosses_One_Way_Road Two_Way_Traffic_Straight_Ahead Uneven_Road Wild_Animals Y_Junction give_way no_use_of_horn

Object Detection Model snap