afterglowdev@protonmail.ch

AZL

Object Detection

AZL Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

910 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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ azl_dataset,
    title = { AZL Dataset },
    type = { Open Source Dataset },
    author = { afterglowdev@protonmail.ch },
    howpublished = { \url{ https://universe.roboflow.com/afterglowdev-protonmail-ch/azl } },
    url = { https://universe.roboflow.com/afterglowdev-protonmail-ch/azl },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-12-06 },
}

Find utilities and guides to help you start using the AZL project in your project.

Last Updated

4 months ago

Project Type

Object Detection

Subject

initmenu-shiplockmenu

Classes

autopilot_warning, autopilot_warning_gotit, post_battle_reward, post_battle_score, post_battle_score_touch, post_battle_screen, post_battle_screen_confirm, radar_ambush, radar_attack, radar_boss, radar_destroyed, radar_enemy, radar_evade, radar_formation, radar_formation_battle, radar_nofuel, radar_nofuel_cancel, radar_select, radar_select_attack, radar_select_retreat, shiplock_menu, shiplock_menu_cancel, shiplock_menu_confirm, stage_select_fleet, stage_select_fleet_go, total_rewards, total_rewards_continue, total_rewards_exit

Views: 1

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

a2
pieces
58 images
pieces
25 images
buttons-weapons-nightmares-loading
424 images
fgo
stage
65 images