tft retrain Computer Vision Project

TFT training

Updated 9 months ago

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Classes (124)
Adaptive Helm
Aegis of the Legion
Ahri
Akali K-DA
Akali True Damage
Amumu
Annie
Archangel-s Staff
B-F- Sword
Bard
Blacksmith-s Gloves
Blitzcrank
Bloodthirster
Blue Buff
Bramble Vest
Bruiser Emblem
Caitlyn
Chain Vest
Champion Duplicator
Corki
Crownguard
Dazzler Emblem
Deathblade
Dragon-s Claw
Edge of Night
Ekko
Emo Emblem
Ephelios
Evelynn
Evenshroud
Executioner Emblem
Ezreal
Gaint-s Belt
Garen
Gargoyle Stoneplate
Giant Slayer
Gnar
Gold Collector
Gragas
Guinsoo-s Rageblade
HEARTSTEEL Emblem
Hand of Justice
Hextech Gunblade
Illaoi
Infinity Edge
Jak-sho the Protean
Jax
Jazz Emblem
Jeweled Gauntlet
Jhin
Jinx
KDA Emblem
KSante
Kaisa
Karthus
Kayle
Kayn
Kennen
Last Whisper
Lesser Champion Duplicator
Lillia
Locket of the Iron Solari
Lucian
Lulu
Lux
Magnetic Remover
Miss Fortune
MordeKaiser
Mosher Emblem
Nami
Nashor-s Tooth
Needless Large Rod
Neeko
Negatron Cloak
Olaf
Pantheon
Pentakill Emblem
Poppy
Protector-s Vow
Qiyana
Quicksilver
Rabadon-s Deathcap
Rapidfire Emblem
Recurve Bow
Red Buff
Reforger
Riven
Runnan-s Hurricane
Samira
Senna
Sentinel Emblem
Seraphine
Sett
Sona
Sparring Gloves
Spatula
Spear of Shojin
Spellweaver Emblem
Statikk Shiv
Steadfast Heart
Sterak-S Gage
Sunfire Cape
Superfan Emblem
Tactician-s Crown
Tahm Kench
Target Dummy
Taric
Tear of the Goddess
Thief-s Gloves
Thresh
Titan-s Resolve
Twitch
Urgot
Vex
Vi
Viego
Warmog-s Armor
Yasuo
Yone
Yorick
Zac
Zed
Zhonya-s Paradox
kalye

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LICENSE
CC BY 4.0

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

                        @misc{
                            tft-retrain_dataset,
                            title = { tft retrain Dataset },
                            type = { Open Source Dataset },
                            author = { TFT training },
                            howpublished = { \url{ https://universe.roboflow.com/tft-training/tft-retrain } },
                            url = { https://universe.roboflow.com/tft-training/tft-retrain },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-11-21 },
                            }