Instructions to use AmberY1201/best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use AmberY1201/best with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("AmberY1201/best", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download class_ids.json from AmberY1201/best: direct link, hf CLI and curl.
- Browser
- Download file 3.48 kB
-
https://huggingface.co/AmberY1201/best/resolve/main/class_ids.json
- Command line
-
hf download hf://AmberY1201/best/class_ids.json
-
curl -L -o class_ids.json https://huggingface.co/AmberY1201/best/resolve/main/class_ids.json
3.48 kB
| { | |
| "class_ids": { | |
| "allen_wrench": 0, | |
| "apple_pie": 1, | |
| "armchair": 2, | |
| "axe": 3, | |
| "bacon": 4, | |
| "baking_sheet": 5, | |
| "bar": 6, | |
| "bar_soap": 7, | |
| "bathtub": 8, | |
| "battery": 9, | |
| "bed": 10, | |
| "beefsteak_tomato": 11, | |
| "beer_bottle": 12, | |
| "beet": 13, | |
| "bell_pepper": 14, | |
| "board_game": 15, | |
| "bookcase": 16, | |
| "booth": 17, | |
| "bottle_of_coffee": 18, | |
| "bottle_of_detergent": 19, | |
| "bottom_cabinet": 20, | |
| "bow": 21, | |
| "bowl": 22, | |
| "box_of_sanitary_napkins": 23, | |
| "breakfast_table": 24, | |
| "brisket": 25, | |
| "broom": 26, | |
| "brussels_sprouts": 27, | |
| "bucket": 28, | |
| "burner": 29, | |
| "butter_cookie": 30, | |
| "calculator": 31, | |
| "can_of_soda": 32, | |
| "candy_cane": 33, | |
| "car": 34, | |
| "carton_of_milk": 35, | |
| "carving_knife": 36, | |
| "cauldron": 37, | |
| "chili": 38, | |
| "chopping_block": 39, | |
| "chopping_board": 40, | |
| "christmas_tree": 41, | |
| "clothes_dryer": 42, | |
| "coffee_cup": 43, | |
| "coffee_maker": 44, | |
| "coffee_table": 45, | |
| "commercial_kitchen_sink": 46, | |
| "commercial_kitchen_table": 47, | |
| "corkscrew": 48, | |
| "cutting_board": 49, | |
| "desk": 50, | |
| "desktop_computer": 51, | |
| "dice": 52, | |
| "digital_camera": 53, | |
| "dishwasher": 54, | |
| "drill": 55, | |
| "drop_in_sink": 56, | |
| "eames_chair": 57, | |
| "electric_kettle": 58, | |
| "electric_switch": 59, | |
| "fire_alarm": 60, | |
| "firewood": 61, | |
| "flashlight": 62, | |
| "folder": 63, | |
| "fridge": 64, | |
| "frying_pan": 65, | |
| "furniture_sink": 66, | |
| "garden_chair": 67, | |
| "gift_box": 68, | |
| "hall_tree": 69, | |
| "hamper": 70, | |
| "hardback": 71, | |
| "head_cabbage": 72, | |
| "hotdog": 73, | |
| "ice_bucket": 74, | |
| "ice_cube": 75, | |
| "insectifuge_atomizer": 76, | |
| "jigsaw_puzzle": 77, | |
| "keyboard": 78, | |
| "laptop": 79, | |
| "lighter": 80, | |
| "log": 81, | |
| "magazine": 82, | |
| "mango": 83, | |
| "metal_bottom_cabinet": 84, | |
| "microwave": 85, | |
| "modem": 86, | |
| "monitor": 87, | |
| "mouse": 88, | |
| "mousetrap": 89, | |
| "multi_station_furniture_sink": 90, | |
| "newspaper": 91, | |
| "nightstand": 92, | |
| "notebook": 93, | |
| "ottoman": 94, | |
| "oven": 95, | |
| "packing_box": 96, | |
| "paper_bag": 97, | |
| "paper_coffee_filter": 98, | |
| "paperback_book": 99, | |
| "parer": 100, | |
| "pedestal_table": 101, | |
| "pen": 102, | |
| "pencil": 103, | |
| "pencil_case": 104, | |
| "pillar_candle": 105, | |
| "pillow": 106, | |
| "pineapple": 107, | |
| "pizza": 108, | |
| "pizza_dough": 109, | |
| "plate": 110, | |
| "plier": 111, | |
| "pomegranate": 112, | |
| "pot_plant": 113, | |
| "public_trash_can": 114, | |
| "pumpkin": 115, | |
| "radio": 116, | |
| "recycling_bin": 117, | |
| "rose": 118, | |
| "sandal": 119, | |
| "saucer": 120, | |
| "scanner": 121, | |
| "screwdriver": 122, | |
| "scrub_brush": 123, | |
| "serving_cart": 124, | |
| "shelf": 125, | |
| "soap_dish": 126, | |
| "soap_dispenser": 127, | |
| "sofa": 128, | |
| "softball": 129, | |
| "stand": 130, | |
| "standing_tv": 131, | |
| "stapler": 132, | |
| "steak": 133, | |
| "storage_box": 134, | |
| "stove": 135, | |
| "straight_chair": 136, | |
| "swiss_cheese": 137, | |
| "swivel_chair": 138, | |
| "table_lamp": 139, | |
| "tabletop_sink": 140, | |
| "taco": 141, | |
| "teddy_bear": 142, | |
| "tennis_ball": 143, | |
| "tennis_racket": 144, | |
| "tissue_dispenser": 145, | |
| "toilet": 146, | |
| "toilet_paper": 147, | |
| "toolbox": 148, | |
| "toothbrush": 149, | |
| "top_cabinet": 150, | |
| "tote": 151, | |
| "toy_box": 152, | |
| "toy_figure": 153, | |
| "toy_train": 154, | |
| "trash_can": 155, | |
| "tray": 156, | |
| "trumpet": 157, | |
| "tube_of_toothpaste": 158, | |
| "tupperware": 159, | |
| "vase": 160, | |
| "vidalia_onion": 161, | |
| "wall_mounted_sink": 162, | |
| "wall_mounted_tv": 163, | |
| "washer": 164, | |
| "water_glass": 165, | |
| "wicker_basket": 166, | |
| "wine_bottle": 167, | |
| "wineglass": 168, | |
| "wood_fireplace": 169, | |
| "wreath": 170, | |
| "zucchini": 171 | |
| } | |
| } |