Valorant Map Analyser 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{
valorant-map-analyser_dataset,
title = { Valorant Map Analyser Dataset },
type = { Open Source Dataset },
author = { Dissertation },
howpublished = { \url{ https://universe.roboflow.com/dissertation-4cnjk/valorant-map-analyser } },
url = { https://universe.roboflow.com/dissertation-4cnjk/valorant-map-analyser },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-05-15 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Valorant Map Analyser project in your project.
Source
Last Updated
a year ago
Project Type
Object Detection
Subject
Valorant-Map-Icons
Views: 121
Downloads: 2
License
Classes
SageFriendly SovaPlayer Spike breach_enemy brimstone_enemy chamber_enemy chamber_friendly cypher_friendly cypher_player enemy_dead fade_enemy fade_friendly friendly_dead harbor_friendly jett_enemy jett_friendly jett_player kayo_enemy killjoy_enemy killjoy_friendly killjoy_player last_seen neon_enemy neon_friendly neon_player omen_enemy omen_friendly phoenix_enemy phoenix_player raze_enemy raze_friendly reyna_enemy reyna_friendly sage_enemy sage_friendly sage_player skye_enemy sova_enemy sova_friendly sova_player spike spike_planted viper_enemy viper_friendly yoru_enemy yoru_friendly