| tags: | |
| - ultralyticsplus | |
| - yolov8 | |
| - ultralytics | |
| - yolo | |
| - vision | |
| - image-classification | |
| - pytorch | |
| - awesome-yolov8-models | |
| library_name: ultralytics | |
| library_version: 8.0.21 | |
| inference: false | |
| datasets: | |
| - keremberke/pokemon-classification | |
| model-index: | |
| - name: keremberke/yolov8s-pokemon-classification | |
| results: | |
| - task: | |
| type: image-classification | |
| dataset: | |
| type: keremberke/pokemon-classification | |
| name: pokemon-classification | |
| split: validation | |
| metrics: | |
| - type: accuracy | |
| value: 0.02459 # min: 0.0 - max: 1.0 | |
| name: top1 accuracy | |
| - type: accuracy | |
| value: 0.0806 # min: 0.0 - max: 1.0 | |
| name: top5 accuracy | |
| <div align="center"> | |
| <img width="640" alt="keremberke/yolov8s-pokemon-classification" src="https://huggingface.co/keremberke/yolov8s-pokemon-classification/resolve/main/thumbnail.jpg"> | |
| </div> | |
| ### Supported Labels | |
| ``` | |
| ['Abra', 'Aerodactyl', 'Alakazam', 'Alolan Sandslash', 'Arbok', 'Arcanine', 'Articuno', 'Beedrill', 'Bellsprout', 'Blastoise', 'Bulbasaur', 'Butterfree', 'Caterpie', 'Chansey', 'Charizard', 'Charmander', 'Charmeleon', 'Clefable', 'Clefairy', 'Cloyster', 'Cubone', 'Dewgong', 'Diglett', 'Ditto', 'Dodrio', 'Doduo', 'Dragonair', 'Dragonite', 'Dratini', 'Drowzee', 'Dugtrio', 'Eevee', 'Ekans', 'Electabuzz', 'Electrode', 'Exeggcute', 'Exeggutor', 'Farfetchd', 'Fearow', 'Flareon', 'Gastly', 'Gengar', 'Geodude', 'Gloom', 'Golbat', 'Goldeen', 'Golduck', 'Golem', 'Graveler', 'Grimer', 'Growlithe', 'Gyarados', 'Haunter', 'Hitmonchan', 'Hitmonlee', 'Horsea', 'Hypno', 'Ivysaur', 'Jigglypuff', 'Jolteon', 'Jynx', 'Kabuto', 'Kabutops', 'Kadabra', 'Kakuna', 'Kangaskhan', 'Kingler', 'Koffing', 'Krabby', 'Lapras', 'Lickitung', 'Machamp', 'Machoke', 'Machop', 'Magikarp', 'Magmar', 'Magnemite', 'Magneton', 'Mankey', 'Marowak', 'Meowth', 'Metapod', 'Mew', 'Mewtwo', 'Moltres', 'MrMime', 'Muk', 'Nidoking', 'Nidoqueen', 'Nidorina', 'Nidorino', 'Ninetales', 'Oddish', 'Omanyte', 'Omastar', 'Onix', 'Paras', 'Parasect', 'Persian', 'Pidgeot', 'Pidgeotto', 'Pidgey', 'Pikachu', 'Pinsir', 'Poliwag', 'Poliwhirl', 'Poliwrath', 'Wigglytuff', 'Zapdos', 'Zubat'] | |
| ``` | |
| ### How to use | |
| - Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus): | |
| ```bash | |
| pip install ultralyticsplus==0.0.23 ultralytics==8.0.21 | |
| ``` | |
| - Load model and perform prediction: | |
| ```python | |
| from ultralyticsplus import YOLO, postprocess_classify_output | |
| # load model | |
| model = YOLO('keremberke/yolov8s-pokemon-classification') | |
| # set model parameters | |
| model.overrides['conf'] = 0.25 # model confidence threshold | |
| # set image | |
| image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg' | |
| # perform inference | |
| results = model.predict(image) | |
| # observe results | |
| print(results[0].probs) # [0.1, 0.2, 0.3, 0.4] | |
| processed_result = postprocess_classify_output(model, result=results[0]) | |
| print(processed_result) # {"cat": 0.4, "dog": 0.6} | |
| ``` | |
| **More models available at: [awesome-yolov8-models](https://yolov8.xyz)** |