Closed SeaBroNoMeal closed 4 years ago
@SeaBroNoMeal Did you get the answer?
@SeaBroNoMeal @raghavendrajain Any insights on this? I also can not find the labels for OID.
LABLES2ENG = {-1:"unknown",0: 'Accordion', 1: 'Adhesive tape', 2: 'Airplane', 3: 'Alarm clock', 4: 'Alpaca', 5: 'Ambulance', 6: 'Ant', 7: 'Antelope', 8: 'Apple', 9: 'Artichoke', 10: 'Asparagus', 11: 'Backpack', 12: 'Bagel', 13: 'Balloon', 14: 'Banana', 15: 'Barge', 16: 'Barrel', 17: 'Baseball bat', 18: 'Baseball glove', 19: 'Bat', 20: 'Bathroom cabinet', 21: 'Bathtub', 22: 'Beaker', 23: 'Bee', 24: 'Beehive', 25: 'Beer', 26: 'Bell pepper', 27: 'Belt', 28: 'Bench', 29: 'Bicycle', 30: 'Bicycle helmet', 31: 'Bicycle wheel', 32: 'Bidet', 33: 'Billboard', 34: 'Billiard table', 35: 'Binoculars', 36: 'Blender', 37: 'Blue jay', 38: 'Book', 39: 'Bookcase', 40: 'Boot', 41: 'Bottle', 42: 'Bow and arrow', 43: 'Bowl', 44: 'Box', 45: 'Boy', 46: 'Brassiere', 47: 'Bread', 48: 'Briefcase', 49: 'Broccoli', 50: 'Bronze sculpture', 51: 'Brown bear', 52: 'Bull', 53: 'Burrito', 54: 'Bus', 55: 'Bust', 56: 'Butterfly', 57: 'Cabbage', 58: 'Cabinetry', 59: 'Cake', 60: 'Cake stand', 61: 'Camel', 62: 'Camera', 63: 'Canary', 64: 'Candle', 65: 'Candy', 66: 'Cannon', 67: 'Canoe', 68: 'Carrot', 69: 'Cart', 70: 'Castle', 71: 'Cat', 72: 'Caterpillar', 73: 'Cattle', 74: 'Ceiling fan', 75: 'Cello', 76: 'Centipede', 77: 'Chair', 78: 'Cheetah', 79: 'Chest of drawers', 80: 'Chicken', 81: 'Chopsticks', 82: 'Christmas tree', 83: 'Coat', 84: 'Cocktail', 85: 'Coconut', 86: 'Coffee', 87: 'Coffee cup', 88: 'Coffee table', 89: 'Coffeemaker', 90: 'Coin', 91: 'Common fig', 92: 'Computer keyboard', 93: 'Computer monitor', 94: 'Computer mouse', 95: 'Convenience store', 96: 'Cookie', 97: 'Corded phone', 98: 'Countertop', 99: 'Cowboy hat', 100: 'Crab', 101: 'Cricket ball', 102: 'Crocodile', 103: 'Croissant', 104: 'Crown', 105: 'Crutch', 106: 'Cucumber', 107: 'Cupboard', 108: 'Curtain', 109: 'Cutting board', 110: 'Dagger', 111: 'Deer', 112: 'Desk', 113: 'Dice', 114: 'Digital clock', 115: 'Dinosaur', 116: 'Dog', 117: 'Dog bed', 118: 'Doll', 119: 'Dolphin', 120: 'Door', 121: 'Door handle', 122: 'Doughnut', 123: 'Dragonfly', 124: 'Drawer', 125: 'Dress', 126: 'Drinking straw', 127: 'Drum', 128: 'Duck', 129: 'Dumbbell', 130: 'Eagle', 131: 'Earrings', 132: 'Egg', 133: 'Elephant', 134: 'Envelope', 135: 'Falcon', 136: 'Fedora', 137: 'Filing cabinet', 138: 'Fire hydrant', 139: 'Fireplace', 140: 'Flag', 141: 'Flashlight', 142: 'Flowerpot', 143: 'Flute', 144: 'Food processor', 145: 'Football', 146: 'Football helmet', 147: 'Fork', 148: 'Fountain', 149: 'Fox', 150: 'French fries', 151: 'Frog', 152: 'Frying pan', 153: 'Gas stove', 154: 'Giraffe', 155: 'Girl', 156: 'Glasses', 157: 'Goat', 158: 'Goggles', 159: 'Goldfish', 160: 'Golf ball', 161: 'Golf cart', 162: 'Gondola', 163: 'Goose', 164: 'Grape', 165: 'Grapefruit', 166: 'Guacamole', 167: 'Guitar', 168: 'Hamburger', 169: 'Hamster', 170: 'Handbag', 171: 'Handgun', 172: 'Harbor seal', 173: 'Harp', 174: 'Harpsichord', 175: 'Headphones', 176: 'Helicopter', 177: 'High heels', 178: 'Honeycomb', 179: 'Horn', 180: 'Horse', 181: 'Hot dog', 182: 'House', 183: 'Houseplant', 184: 'Human arm', 185: 'Human beard', 186: 'Human ear', 187: 'Human eye', 188: 'Human face', 189: 'Human foot', 190: 'Human hair', 191: 'Human hand', 192: 'Human head', 193: 'Human leg', 194: 'Human mouth', 195: 'Human nose', 196: 'Ice cream', 197: 'Infant bed', 198: 'Jacket', 199: 'Jaguar', 200: 'Jeans', 201: 'Jellyfish', 202: 'Jet ski', 203: 'Jug', 204: 'Juice', 205: 'Kangaroo', 206: 'Kettle', 207: 'Kitchen & dining room table', 208: 'Kitchen knife', 209: 'Kite', 210: 'Knife', 211: 'Ladder', 212: 'Ladybug', 213: 'Lamp', 214: 'Lantern', 215: 'Laptop', 216: 'Lavender', 217: 'Lemon', 218: 'Leopard', 219: 'Lifejacket', 220: 'Light bulb', 221: 'Light switch', 222: 'Lighthouse', 223: 'Lily', 224: 'Limousine', 225: 'Lion', 226: 'Lizard', 227: 'Lobster', 228: 'Loveseat', 229: 'Lynx', 230: 'Man', 231: 'Mango', 232: 'Maple', 233: 'Measuring cup', 234: 'Mechanical fan', 235: 'Microphone', 236: 'Microwave oven', 237: 'Miniskirt', 238: 'Mirror', 239: 'Missile', 240: 'Mixer', 241: 'Mobile phone', 242: 'Monkey', 243: 'Motorcycle', 244: 'Mouse', 245: 'Muffin', 246: 'Mug', 247: 'Mule', 248: 'Mushroom', 249: 'Musical keyboard', 250: 'Nail', 251: 'Necklace', 252: 'Nightstand', 253: 'Oboe', 254: 'Office building', 255: 'Orange', 256: 'Organ', 257: 'Ostrich', 258: 'Otter', 259: 'Oven', 260: 'Owl', 261: 'Oyster', 262: 'Paddle', 263: 'Palm tree', 264: 'Pancake', 265: 'Paper towel', 266: 'Parachute', 267: 'Parrot', 268: 'Pasta', 269: 'Peach', 270: 'Pear', 271: 'Pen', 272: 'Penguin', 273: 'Piano', 274: 'Picnic basket', 275: 'Picture frame', 276: 'Pig', 277: 'Pillow', 278: 'Pineapple', 279: 'Pitcher', 280: 'Pizza', 281: 'Plastic bag', 282: 'Plate', 283: 'Platter', 284: 'Polar bear', 285: 'Pomegranate', 286: 'Popcorn', 287: 'Porch', 288: 'Porcupine', 289: 'Poster', 290: 'Potato', 291: 'Power plugs and sockets', 292: 'Pressure cooker', 293: 'Pretzel', 294: 'Printer', 295: 'Pumpkin', 296: 'Punching bag', 297: 'Rabbit', 298: 'Raccoon', 299: 'Radish', 300: 'Raven', 301: 'Refrigerator', 302: 'Rhinoceros', 303: 'Rifle', 304: 'Ring binder', 305: 'Rocket', 306: 'Roller skates', 307: 'Rose', 308: 'Rugby ball', 309: 'Ruler', 310: 'Salad', 311: 'Salt and pepper shakers', 312: 'Sandal', 313: 'Saucer', 314: 'Saxophone', 315: 'Scarf', 316: 'Scissors', 317: 'Scoreboard', 318: 'Screwdriver', 319: 'Sea lion', 320: 'Sea turtle', 321: 'Seahorse', 322: 'Seat belt', 323: 'Segway', 324: 'Serving tray', 325: 'Sewing machine', 326: 'Shark', 327: 'Sheep', 328: 'Shelf', 329: 'Shirt', 330: 'Shorts', 331: 'Shotgun', 332: 'Shower', 333: 'Shrimp', 334: 'Sink', 335: 'Skateboard', 336: 'Ski', 337: 'Skull', 338: 'Skyscraper', 339: 'Slow cooker', 340: 'Snail', 341: 'Snake', 342: 'Snowboard', 343: 'Snowman', 344: 'Snowmobile', 345: 'Snowplow', 346: 'Sock', 347: 'Sofa bed', 348: 'Sombrero', 349: 'Sparrow', 350: 'Spatula', 351: 'Spider', 352: 'Spoon', 353: 'Sports uniform', 354: 'Squirrel', 355: 'Stairs', 356: 'Starfish', 357: 'Stationary bicycle', 358: 'Stool', 359: 'Stop sign', 360: 'Strawberry', 361: 'Street light', 362: 'Stretcher', 363: 'Studio couch', 364: 'Submarine sandwich', 365: 'Suit', 366: 'Suitcase', 367: 'Sun hat', 368: 'Sunflower', 369: 'Sunglasses', 370: 'Surfboard', 371: 'Sushi', 372: 'Swan', 373: 'Swim cap', 374: 'Swimming pool', 375: 'Swimwear', 376: 'Sword', 377: 'Table tennis racket', 378: 'Tablet computer', 379: 'Taco', 380: 'Tank', 381: 'Tap', 382: 'Tart', 383: 'Taxi', 384: 'Tea', 385: 'Teapot', 386: 'Teddy bear', 387: 'Television', 388: 'Tennis ball', 389: 'Tennis racket', 390: 'Tent', 391: 'Tiara', 392: 'Tick', 393: 'Tie', 394: 'Tiger', 395: 'Tin can', 396: 'Tire', 397: 'Toaster', 398: 'Toilet', 399: 'Toilet paper', 400: 'Tomato', 401: 'Torch', 402: 'Tortoise', 403: 'Towel', 404: 'Tower', 405: 'Traffic light', 406: 'Train', 407: 'Training bench', 408: 'Treadmill', 409: 'Tripod', 410: 'Trombone', 411: 'Truck', 412: 'Trumpet', 413: 'Turkey', 414: 'Umbrella', 415: 'Van', 416: 'Vase', 417: 'Vehicle registration plate', 418: 'Violin', 419: 'Volleyball', 420: 'Waffle', 421: 'Wall clock', 422: 'Washing machine', 423: 'Waste container', 424: 'Watch', 425: 'Watermelon', 426: 'Whale', 427: 'Wheel', 428: 'Wheelchair', 429: 'Whiteboard', 430: 'Willow', 431: 'Window', 432: 'Window blind', 433: 'Wine', 434: 'Wine glass', 435: 'Winter melon', 436: 'Wok', 437: 'Woman', 438: 'Wood-burning stove', 439: 'Woodpecker', 440: 'Wrench', 441: 'Zebra', 442: 'Zucchini', 443: 'Toy', 444: 'Home appliance', 445: 'Plumbing fixture', 446: 'Office supplies', 447: 'Tableware', 448: 'Kitchen appliance', 449: 'Couch', 450: 'Bed', 451: 'Table', 452: 'Clock', 453: 'Sculpture', 454: 'Traffic sign', 455: 'Building', 456: 'Person', 457: 'Dessert', 458: 'Fruit', 459: 'Shellfish', 460: 'Squash', 461: 'Sandwich', 462: 'Tree', 463: 'Flower', 464: 'Car', 465: 'Boat', 466: 'Aircraft', 467: 'Hat', 468: 'Skirt', 469: 'Glove', 470: 'Trousers', 471: 'Footwear', 472: 'Luggage and bags', 473: 'Helmet', 474: 'Bird', 475: 'Marine invertebrates', 476: 'Beetle', 477: 'Moths and butterflies', 478: 'Bear', 479: 'Marine mammal', 480: 'Turtle', 481: 'Fish', 482: 'Personal care', 483: 'Musical instrument', 484: 'Ball', 485: 'Racket', 486: 'Weapon', 487: 'Telephone', 488: 'Drink', 489: 'Seafood', 490: 'Watercraft', 491: 'Insect', 492: 'Carnivore', 493: 'Vegetable', 494: 'Land vehicle', 495: 'Reptile', 496: 'Invertebrate', 497: 'Furniture', 498: 'Vehicle', 499: 'Animal'}
LABLES2CHS = {0: '手风琴', 1: '胶带', 2: '飞机', 3: '闹钟', 4: '羊驼毛', 5: '救护车', 6: '蚂蚁', 7: '羚羊', 8: '苹果', 9: '朝鲜蓟', 10: '芦笋', 11: '背包', 12: 'Bagel', 13: '气球', 14: '香蕉', 15: '驳船', 16: '桶', 17: '棒球棒', 18: '棒球手套', 19: '蝙蝠', 20: '浴室柜', 21: '浴缸', 22: '烧杯', 23: '蜜蜂', 24: '蜂箱', 25: '啤酒', 26: '甜椒', 27: '皮带', 28: '长凳', 29: '自行车', 30: '自行车头盔', 31: '自行车车轮', 32: '净身器', 33: '广告牌', 34: '台球桌', 35: '双筒望远镜', 36: '搅拌机', 37: '冠蓝鸦', 38: '书', 39: '书架', 40: '靴子', 41: '瓶', 42: '弓箭', 43: '碗', 44: '盒子', 45: '男孩', 46: '胸罩', 47: '面包', 48: '公文包', 49: '西兰花', 50: '青铜雕塑', 51: '棕熊', 52: '牛', 53: '卷饼', 54: '公共汽车', 55: '胸围', 56: '蝴蝶', 57: '白菜', 58: '饭厅', 59: '蛋糕', 60: '蛋糕架', 61: '骆驼', 62: '相机', 63: '金丝雀', 64: '蜡烛', 65: '糖果', 66: '加农炮', 67: '独木舟', 68: '胡萝卜', 69: '购物车', 70: '城堡', 71: '猫', 72: '毛毛虫', 73: '牛', 74: '吊扇', 75: '大提琴', 76: '蜈蚣', 77: '椅子', 78: '猎豹', 79: '抽屉柜', 80: '鸡肉', 81: '筷子', 82: '圣诞树', 83: '外套', 84: '鸡尾酒', 85: '椰子', 86: '咖啡', 87: '咖啡杯', 88: '茶几', 89: '咖啡壶', 90: '硬币', 91: '无花果', 92: '计算机键盘', 93: '计算机监视器', 94: '计算机鼠标', 95: '便利店', 96: '曲奇', 97: '有线电话', 98: '柜台面', 99: '牛仔帽', 100: '螃蟹', 101: '板球', 102: '鳄鱼', 103: '牛角包', 104: '皇冠', 105: '拐杖', 106: '黄瓜', 107: '橱柜', 108: '窗帘', 109: '砧板', 110: '匕首', 111: '鹿', 112: '桌面', 113: '骰子', 114: '数字时钟', 115: '恐龙', 116: '狗', 117: '狗床', 118: '娃娃', 119: '海豚', 120: '门', 121: '门把手', 122: '甜甜圈', 123: '蜻蜓', 124: '抽屉', 125: '连衣裙', 126: '吸管', 127: '鼓', 128: '鸭子', 129: '哑铃', 130: '老鹰', 131: '耳环', 132: '蛋', 133: '大象', 134: '信封', 135: '猎鹰', 136: '软呢帽', 137: '文件柜', 138: '消防栓', 139: '壁炉', 140: '旗帜', 141: '闪光灯', 142: '花盆', 143: '长笛', 144: '食品加工机', 145: '足球', 146: '足球头盔', 147: '叉', 148: '喷泉', 149: '福克斯', 150: '炸薯条', 151: '青蛙', 152: '煎锅', 153: '煤气炉', 154: '长颈鹿', 155: '女孩', 156: '眼镜', 157: '山羊', 158: '护目镜', 159: '金鱼', 160: '高尔夫球', 161: '高尔夫球车', 162: '贡多拉', 163: '鹅', 164: '葡萄', 165: '葡萄柚', 166: '鳄梨酱', 167: '吉他', 168: '汉堡包', 169: '仓鼠', 170: '手提包', 171: '手枪', 172: '海豹', 173: '竖琴', 174: '大键琴', 175: '耳机', 176: '直升机', 177: '高跟鞋', 178: '蜂窝', 179: '喇叭', 180: '马', 181: '热狗', 182: '房屋', 183: '室内植物', 184: '人类手臂', 185: '人胡须', 186: '人耳', 187: '人眼', 188: '人脸', 189: '人脚', 190: '人发', 191: '人手', 192: '人的头', 193: '人的腿', 194: '人的嘴', 195: '人的鼻子', 196: '冰淇淋', 197: '婴儿床', 198: '夹克', 199: '美洲虎', 200: '牛仔裤', 201: '水母', 202: '喷气滑雪', 203: '水壶', 204: '果汁', 205: '袋鼠', 206: '水壶', 207: '厨房和餐桌', 208: '厨房刀', 209: '风筝', 210: '刀', 211: '梯子', 212: '瓢虫', 213: '灯', 214: '灯笼', 215: '笔记本电脑', 216: '薰衣草', 217: '柠檬', 218: '豹', 219: '救生衣', 220: '灯泡', 221: '照明开关', 222: '灯塔', 223: '百合花', 224: '豪华轿车', 225: '狮子', 226: '蜥蜴', 227: '龙虾', 228: '双人小沙发', 229: '猞猁', 230: '男人', 231: '芒果', 232: '枫木', 233: '量杯', 234: '机械风扇', 235: '麦克风', 236: '微波炉', 237: '迷你裙', 238: '镜子', 239: '导弹', 240: '混音器', 241: '手机', 242: '猴子', 243: '摩托车', 244: '鼠标', 245: '松饼', 246: '杯子', 247: '骡', 248: '蘑菇', 249: '音乐键盘', 250: '钉子', 251: '项链', 252: '床头柜', 253: '双簧管', 254: '办公大楼', 255: '橙色', 256: '管风琴', 257: '鸵鸟', 258: '水獭', 259: '烤箱', 260: '猫头鹰', 261: '牡蛎', 262: '桨', 263: '棕榈树', 264: '薄煎饼', 265: '纸巾', 266: '降落伞', 267: '鹦鹉', 268: '意大利面', 269: '桃子', 270: '梨', 271: '笔', 272: '企鹅', 273: '钢琴', 274: '野餐篮', 275: '相框', 276: '猪', 277: '枕头', 278: '菠萝', 279: '投手', 280: '比萨饼', 281: '塑料袋', 282: '盘子', 283: '唱片', 284: '北极熊', 285: '石榴', 286: '爆米花', 287: '走廊', 288: '豪猪', 289: '海报', 290: '土豆', 291: '电源插头和插座', 292: '压力锅', 293: '椒盐脆饼', 294: '打印机', 295: '南瓜', 296: '打孔袋', 297: '兔子', 298: '浣熊', 299: '萝卜', 300: '乌鸦', 301: '冰箱', 302: '犀牛', 303: '步枪', 304: '活页夹', 305: '火箭', 306: '溜冰鞋', 307: '罗斯', 308: '橄榄球', 309: '统治者', 310: '沙拉', 311: '盐和胡椒罐', 312: '凉鞋', 313: '茶托', 314: '萨克斯风', 315: '围巾', 316: '剪刀', 317: '计分板', 318: '螺丝刀', 319: '海狮', 320: '海龟', 321: '安全带', 322: '安全带', 323: '赛格威电动代步车', 324: '上菜托盘', 325: '缝纫机', 326: '鲨鱼', 327: '绵羊', 328: '架子', 329: '短袖', 330: '短裤', 331: '霰弹枪', 332: '淋浴', 333: '虾', 334: '水槽', 335: '滑板', 336: '滑雪橇', 337: '颅骨', 338: '摩天大楼', 339: '煲汤锅', 340: '蜗牛', 341: '蛇', 342: '滑雪单板', 343: '雪人', 344: '雪地摩托', 345: '扫雪机', 346: '袜子', 347: '沙发床', 348: '墨西哥帽', 349: '麻雀', 350: '抹刀', 351: '蜘蛛', 352: '勺子', 353: '运动服', 354: '松鼠', 355: '楼梯', 356: '海星', 357: '固定自行车', 358: '凳子', 359: '停车牌', 360: '草莓', 361: '路灯', 362: 'Stretcher', 363: '工作室沙发', 364: '海底三明治', 365: '外套', 366: '手提箱', 367: '遮阳帽', 368: '太阳花', 369: '墨镜', 370: '冲浪板', 371: '寿司', 372: '天鹅', 373: '泳帽', 374: '泳池', 375: '泳衣', 376: '剑', 377: '乒乓球球拍', 378: '平板电脑', 379: '墨西哥卷', 380: '坦克/水箱', 381: '水龙头', 382: '果馅饼', 383: '出租车', 384: '茶', 385: '茶壶', 386: '泰迪熊', 387: '电视', 388: '网球球', 389: '网球拍', 390: '帐篷', 391: '头饰', 392: '壁虱', 393: '领带', 394: '老虎',395:'马口铁罐头', 396: '轮胎', 397: '烤面包机', 398: '厕所', 399: '厕纸', 400: '西红柿', 401: '火炬', 402: '草龟', 403: '毛巾', 404: '塔楼', 405: '交通灯', 406: '火车', 407: '训练台', 408: '跑步机', 409: '三脚架', 410: '长号', 411: '卡车', 412: '喇叭', 413: '火鸡', 414: '雨伞', 415: '厢式货车', 416: '花瓶', 417: '车牌', 418: '小提琴', 419: '排球', 420: '华夫饼', 421: '墙时钟', 422: '洗衣机', 423: '废物容器', 424: '手表', 425: '西瓜', 426: '鲸鱼', 427: '车轮', 428: '轮椅', 429: '白板', 430: '柳树', 431: '窗户', 432: '百叶窗', 433: '酒', 434: '酒杯', 435: '冬瓜', 436: '锅', 437: '女人', 438: '燃木火炉', 439: '啄木鸟', 440: '扳手', 441: '斑马', 442: '西葫芦', 443: '玩具', 444: '家用电器', 445: '卫生设备', 446: '办公用品', 447: '餐具', 448: '厨房用具', 449: '沙发', 450: '床', 451: '桌子', 452: '时钟', 453: '雕塑', 454: '交通标志', 455: '建筑物', 456: '人', 457: '甜品', 458: '水果', 459: '贝类', 460: '南瓜', 461: '三明治', 462: '树', 463: '花', 464: '汽车', 465: '船', 466: '飞机', 467: '帽子', 468: '裙子', 469: '手套', 470: '长裤', 471: '鞋类', 472: '行李和箱包', 473: '头盔', 474: '鸟', 475: '海洋无脊椎动物', 476: '甲虫', 477: '飞蛾与蝴蝶', 478: '熊', 479: '海洋哺乳动物', 480: '乌龟', 481: '鱼', 482: '个人护理', 483: '乐器', 484: '球', 485: '球拍', 486: '武器', 487: '电话', 488: '饮料', 489: '海鲜', 490: '船只', 491: '昆虫', 492: '食肉动物', 493: '蔬菜', 494: '陆地车辆', 495: '爬行动物', 496: '无脊椎动物', 497: '家具', 498: '车辆', 499: '动物', -1: '未知'}
LABLES2NAME={k:LABLES2CHS[k]+' | '+v for k,v in LABLES2ENG.items()}
Hi, I tried using trained model from release page, what are the 500 labels for the model trained on OID (e.g., resnet50_oid_v1.0.0.h5), example script under 'examples' folder was for model trained on COCO dataset (80 labels), what are the labels for OID then? Thanks a lot!