Upload folder using huggingface_hub
Browse files- .gitattributes +11 -0
- train/metadata.json +380 -0
- train/objects365.annotations.tsv +3 -0
- train/objects365.annotations.tsv.lineidx +3 -0
- train/objects365.images.tsv.part00 +3 -0
- train/objects365.images.tsv.part01 +3 -0
- train/objects365.images.tsv.part02 +3 -0
- train/objects365_hed.images.tsv.lineidx +3 -0
- train/objects365_hed.images.tsv.part00 +3 -0
- train/objects365_hed.images.tsv.part01 +3 -0
- validation/metadata.json +380 -0
- validation/objects365.annotations.tsv +3 -0
- validation/objects365.annotations.tsv.lineidx +0 -0
- validation/objects365.images.tsv +3 -0
- validation/objects365_hed.images.tsv +3 -0
- validation/objects365_hed.images.tsv.lineidx +0 -0
.gitattributes
CHANGED
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@@ -58,3 +58,14 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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train/objects365.annotations.tsv filter=lfs diff=lfs merge=lfs -text
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train/objects365.annotations.tsv.lineidx filter=lfs diff=lfs merge=lfs -text
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train/objects365.images.tsv.part00 filter=lfs diff=lfs merge=lfs -text
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train/objects365.images.tsv.part01 filter=lfs diff=lfs merge=lfs -text
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train/objects365.images.tsv.part02 filter=lfs diff=lfs merge=lfs -text
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train/objects365_hed.images.tsv.lineidx filter=lfs diff=lfs merge=lfs -text
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train/objects365_hed.images.tsv.part00 filter=lfs diff=lfs merge=lfs -text
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| 68 |
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train/objects365_hed.images.tsv.part01 filter=lfs diff=lfs merge=lfs -text
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| 69 |
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validation/objects365.annotations.tsv filter=lfs diff=lfs merge=lfs -text
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| 70 |
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validation/objects365.images.tsv filter=lfs diff=lfs merge=lfs -text
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| 71 |
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validation/objects365_hed.images.tsv filter=lfs diff=lfs merge=lfs -text
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train/metadata.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"dataset": "Objects365",
|
| 3 |
+
"split": "train",
|
| 4 |
+
"total_samples": 1638776,
|
| 5 |
+
"skipped": {
|
| 6 |
+
"no_image": 103516,
|
| 7 |
+
"no_edge_map": 0,
|
| 8 |
+
"too_small": 0,
|
| 9 |
+
"no_boxes": 0,
|
| 10 |
+
"error": 0
|
| 11 |
+
},
|
| 12 |
+
"num_labels": 365,
|
| 13 |
+
"labels": [
|
| 14 |
+
"Air Conditioner",
|
| 15 |
+
"Airplane",
|
| 16 |
+
"Ambulance",
|
| 17 |
+
"American Football",
|
| 18 |
+
"Antelope",
|
| 19 |
+
"Apple",
|
| 20 |
+
"Asparagus",
|
| 21 |
+
"Avocado",
|
| 22 |
+
"Awning",
|
| 23 |
+
"Backpack",
|
| 24 |
+
"Bakset",
|
| 25 |
+
"Ballon",
|
| 26 |
+
"Banana",
|
| 27 |
+
"Baozi",
|
| 28 |
+
"Barbell",
|
| 29 |
+
"Barrel/bucket",
|
| 30 |
+
"Baseball",
|
| 31 |
+
"Baseball Bat",
|
| 32 |
+
"Baseball Glove",
|
| 33 |
+
"Basketball",
|
| 34 |
+
"Bathtub",
|
| 35 |
+
"Bear",
|
| 36 |
+
"Bed",
|
| 37 |
+
"Belt",
|
| 38 |
+
"Bench",
|
| 39 |
+
"Bicycle",
|
| 40 |
+
"Billards",
|
| 41 |
+
"Binoculars",
|
| 42 |
+
"Blackboard/Whiteboard",
|
| 43 |
+
"Blender",
|
| 44 |
+
"Board Eraser",
|
| 45 |
+
"Boat",
|
| 46 |
+
"Book",
|
| 47 |
+
"Boots",
|
| 48 |
+
"Bottle",
|
| 49 |
+
"Bow Tie",
|
| 50 |
+
"Bowl/Basin",
|
| 51 |
+
"Bracelet",
|
| 52 |
+
"Bread",
|
| 53 |
+
"Briefcase",
|
| 54 |
+
"Broccoli",
|
| 55 |
+
"Broom",
|
| 56 |
+
"Brush",
|
| 57 |
+
"Bus",
|
| 58 |
+
"Buttefly",
|
| 59 |
+
"CD",
|
| 60 |
+
"Cabbage",
|
| 61 |
+
"Cabinet/shelf",
|
| 62 |
+
"Cake",
|
| 63 |
+
"Calculator",
|
| 64 |
+
"Camera",
|
| 65 |
+
"Campel",
|
| 66 |
+
"Candle",
|
| 67 |
+
"Candy",
|
| 68 |
+
"Canned",
|
| 69 |
+
"Car",
|
| 70 |
+
"Carpet",
|
| 71 |
+
"Carriage",
|
| 72 |
+
"Carrot",
|
| 73 |
+
"Cat",
|
| 74 |
+
"Cell Phone",
|
| 75 |
+
"Cello",
|
| 76 |
+
"Chainsaw",
|
| 77 |
+
"Chair",
|
| 78 |
+
"Cheese",
|
| 79 |
+
"Cherry",
|
| 80 |
+
"Chicken",
|
| 81 |
+
"Chips",
|
| 82 |
+
"Chopsticks",
|
| 83 |
+
"Cigar/Cigarette ",
|
| 84 |
+
"Cleaning Products",
|
| 85 |
+
"Clock",
|
| 86 |
+
"Coconut",
|
| 87 |
+
"Coffee Machine",
|
| 88 |
+
"Coffee Table",
|
| 89 |
+
"Comb",
|
| 90 |
+
"Computer Box",
|
| 91 |
+
"Converter",
|
| 92 |
+
"Cookies",
|
| 93 |
+
"Corn",
|
| 94 |
+
"Cosmetics",
|
| 95 |
+
"Cosmetics Brush/Eyeliner Pencil",
|
| 96 |
+
"Cosmetics Mirror",
|
| 97 |
+
"Couch",
|
| 98 |
+
"Cow",
|
| 99 |
+
"Crab",
|
| 100 |
+
"Crane",
|
| 101 |
+
"Crosswalk Sign",
|
| 102 |
+
"Cucumber",
|
| 103 |
+
"Cue",
|
| 104 |
+
"Cup",
|
| 105 |
+
"Curling",
|
| 106 |
+
"Cutting/chopping Board",
|
| 107 |
+
"Cymbal",
|
| 108 |
+
"Deer",
|
| 109 |
+
"Desk",
|
| 110 |
+
"Dessert",
|
| 111 |
+
"Dinning Table",
|
| 112 |
+
"Dishwasher",
|
| 113 |
+
"Dog",
|
| 114 |
+
"Dolphin",
|
| 115 |
+
"Donkey",
|
| 116 |
+
"Donut",
|
| 117 |
+
"Drum",
|
| 118 |
+
"Duck",
|
| 119 |
+
"Dumbbell",
|
| 120 |
+
"Dumpling",
|
| 121 |
+
"Durian",
|
| 122 |
+
"Egg",
|
| 123 |
+
"Egg tart",
|
| 124 |
+
"Eggplant",
|
| 125 |
+
"Electric Drill",
|
| 126 |
+
"Elephant",
|
| 127 |
+
"Eraser",
|
| 128 |
+
"Extention Cord",
|
| 129 |
+
"Extractor",
|
| 130 |
+
"Fan",
|
| 131 |
+
"Faucet",
|
| 132 |
+
"Fire Extinguisher",
|
| 133 |
+
"Fire Hydrant",
|
| 134 |
+
"Fire Truck",
|
| 135 |
+
"Fishing Rod",
|
| 136 |
+
"Flag",
|
| 137 |
+
"Flask",
|
| 138 |
+
"Flower",
|
| 139 |
+
"Flute",
|
| 140 |
+
"Folder",
|
| 141 |
+
"Fork",
|
| 142 |
+
"Formula 1 ",
|
| 143 |
+
"French",
|
| 144 |
+
"French Fries",
|
| 145 |
+
"Frisbee",
|
| 146 |
+
"Game board",
|
| 147 |
+
"Garlic",
|
| 148 |
+
"Gas stove",
|
| 149 |
+
"Giraffe",
|
| 150 |
+
"Glasses",
|
| 151 |
+
"Globe",
|
| 152 |
+
"Gloves",
|
| 153 |
+
"Goldfish",
|
| 154 |
+
"Golf Ball",
|
| 155 |
+
"Golf Club",
|
| 156 |
+
"Goose",
|
| 157 |
+
"Grape",
|
| 158 |
+
"Grapefruit",
|
| 159 |
+
"Green Onion",
|
| 160 |
+
"Green Vegetables",
|
| 161 |
+
"Green beans",
|
| 162 |
+
"Guitar",
|
| 163 |
+
"Gun",
|
| 164 |
+
"Hair Dryer",
|
| 165 |
+
"Hamburger",
|
| 166 |
+
"Hamimelon",
|
| 167 |
+
"Hammer",
|
| 168 |
+
"Handbag/Satchel",
|
| 169 |
+
"Hanger",
|
| 170 |
+
"Hat",
|
| 171 |
+
"Head Phone",
|
| 172 |
+
"Heavy Truck",
|
| 173 |
+
"Helicopter",
|
| 174 |
+
"Helmet",
|
| 175 |
+
"High Heels",
|
| 176 |
+
"Hockey Stick",
|
| 177 |
+
"Horse",
|
| 178 |
+
"Hot dog",
|
| 179 |
+
"Hotair ballon",
|
| 180 |
+
"Hoverboard",
|
| 181 |
+
"Hurdle",
|
| 182 |
+
"Ice cream",
|
| 183 |
+
"Induction Cooker",
|
| 184 |
+
"Jellyfish",
|
| 185 |
+
"Jug",
|
| 186 |
+
"Kettle",
|
| 187 |
+
"Key",
|
| 188 |
+
"Keyboard",
|
| 189 |
+
"Kite",
|
| 190 |
+
"Kiwi fruit",
|
| 191 |
+
"Knife",
|
| 192 |
+
"Ladder",
|
| 193 |
+
"Lamp",
|
| 194 |
+
"Lantern",
|
| 195 |
+
"Laptop",
|
| 196 |
+
"Leather Shoes",
|
| 197 |
+
"Lemon",
|
| 198 |
+
"Lettuce",
|
| 199 |
+
"Lifesaver",
|
| 200 |
+
"Lighter",
|
| 201 |
+
"Lion",
|
| 202 |
+
"Lipstick",
|
| 203 |
+
"Lobster",
|
| 204 |
+
"Luggage",
|
| 205 |
+
"Machinery Vehicle",
|
| 206 |
+
"Mango",
|
| 207 |
+
"Marker",
|
| 208 |
+
"Mask",
|
| 209 |
+
"Meat ball",
|
| 210 |
+
"Medal",
|
| 211 |
+
"Megaphone",
|
| 212 |
+
"Microphone",
|
| 213 |
+
"Microwave",
|
| 214 |
+
"Mirror",
|
| 215 |
+
"Moniter/TV",
|
| 216 |
+
"Monkey",
|
| 217 |
+
"Mop",
|
| 218 |
+
"Motorcycle",
|
| 219 |
+
"Mouse",
|
| 220 |
+
"Mushroon",
|
| 221 |
+
"Napkin",
|
| 222 |
+
"Necklace",
|
| 223 |
+
"Nightstand",
|
| 224 |
+
"Noddles",
|
| 225 |
+
"Notepaper",
|
| 226 |
+
"Nuts",
|
| 227 |
+
"Okra",
|
| 228 |
+
"Onion",
|
| 229 |
+
"Orange/Tangerine",
|
| 230 |
+
"Other Balls",
|
| 231 |
+
"Other Fish",
|
| 232 |
+
"Other Shoes",
|
| 233 |
+
"Oven",
|
| 234 |
+
"Oyster",
|
| 235 |
+
"Paddle",
|
| 236 |
+
"Paint Brush",
|
| 237 |
+
"Papaya",
|
| 238 |
+
"Parking meter",
|
| 239 |
+
"Parrot",
|
| 240 |
+
"Pasta",
|
| 241 |
+
"Peach",
|
| 242 |
+
"Pear",
|
| 243 |
+
"Pen/Pencil",
|
| 244 |
+
"Pencil Case",
|
| 245 |
+
"Penguin",
|
| 246 |
+
"Pepper",
|
| 247 |
+
"Person",
|
| 248 |
+
"Piano",
|
| 249 |
+
"Pickup Truck",
|
| 250 |
+
"Picture/Frame",
|
| 251 |
+
"Pie",
|
| 252 |
+
"Pig",
|
| 253 |
+
"Pigeon",
|
| 254 |
+
"Pillow",
|
| 255 |
+
"Pineapple",
|
| 256 |
+
"Pizza",
|
| 257 |
+
"Plate",
|
| 258 |
+
"Pliers",
|
| 259 |
+
"Plum",
|
| 260 |
+
"Poker Card",
|
| 261 |
+
"Pomegranate",
|
| 262 |
+
"Pot",
|
| 263 |
+
"Potato",
|
| 264 |
+
"Potted Plant",
|
| 265 |
+
"Power outlet",
|
| 266 |
+
"Printer",
|
| 267 |
+
"Projector",
|
| 268 |
+
"Pumpkin",
|
| 269 |
+
"Rabbit",
|
| 270 |
+
"Radiator",
|
| 271 |
+
"Radish",
|
| 272 |
+
"Recorder",
|
| 273 |
+
"Red Cabbage",
|
| 274 |
+
"Refrigerator",
|
| 275 |
+
"Remote",
|
| 276 |
+
"Rice",
|
| 277 |
+
"Rice Cooker",
|
| 278 |
+
"Rickshaw",
|
| 279 |
+
"Ring",
|
| 280 |
+
"Router/modem",
|
| 281 |
+
"SUV",
|
| 282 |
+
"Sailboat",
|
| 283 |
+
"Sandals",
|
| 284 |
+
"Sandwich",
|
| 285 |
+
"Sausage",
|
| 286 |
+
"Saxophone",
|
| 287 |
+
"Scale",
|
| 288 |
+
"Scallop",
|
| 289 |
+
"Scissors",
|
| 290 |
+
"Scooter",
|
| 291 |
+
"Screwdriver",
|
| 292 |
+
"Seal",
|
| 293 |
+
"Sheep",
|
| 294 |
+
"Ship",
|
| 295 |
+
"Shovel",
|
| 296 |
+
"Showerhead",
|
| 297 |
+
"Shrimp",
|
| 298 |
+
"Side Table",
|
| 299 |
+
"Sink",
|
| 300 |
+
"Skateboard",
|
| 301 |
+
"Skating and Skiing shoes",
|
| 302 |
+
"Skiboard",
|
| 303 |
+
"Slide",
|
| 304 |
+
"Slippers",
|
| 305 |
+
"Sneakers",
|
| 306 |
+
"Snowboard",
|
| 307 |
+
"Soap",
|
| 308 |
+
"Soccer",
|
| 309 |
+
"Speaker",
|
| 310 |
+
"Speed Limit Sign",
|
| 311 |
+
"Spoon",
|
| 312 |
+
"Sports Car",
|
| 313 |
+
"Spring Rolls",
|
| 314 |
+
"Stapler",
|
| 315 |
+
"Steak",
|
| 316 |
+
"Stool",
|
| 317 |
+
"Stop Sign",
|
| 318 |
+
"Storage box",
|
| 319 |
+
"Strawberry",
|
| 320 |
+
"Street Lights",
|
| 321 |
+
"Stroller",
|
| 322 |
+
"Stuffed Toy",
|
| 323 |
+
"Surfboard",
|
| 324 |
+
"Surveillance Camera",
|
| 325 |
+
"Sushi",
|
| 326 |
+
"Swan",
|
| 327 |
+
"Swing",
|
| 328 |
+
"Table Teniis paddle",
|
| 329 |
+
"Table Tennis ",
|
| 330 |
+
"Tablet",
|
| 331 |
+
"Tape",
|
| 332 |
+
"Tape Measur/ Ruler",
|
| 333 |
+
"Target",
|
| 334 |
+
"Tea pot",
|
| 335 |
+
"Telephone",
|
| 336 |
+
"Tennis",
|
| 337 |
+
"Tennis Racket",
|
| 338 |
+
"Tent",
|
| 339 |
+
"Tie",
|
| 340 |
+
"Tissue",
|
| 341 |
+
"Toaster",
|
| 342 |
+
"Toilet",
|
| 343 |
+
"Toilet Paper",
|
| 344 |
+
"Toiletry",
|
| 345 |
+
"Tomato",
|
| 346 |
+
"Tong",
|
| 347 |
+
"Toothbrush",
|
| 348 |
+
"Towel",
|
| 349 |
+
"Traffic Light",
|
| 350 |
+
"Traffic Sign",
|
| 351 |
+
"Traffic cone",
|
| 352 |
+
"Train",
|
| 353 |
+
"Trash bin Can",
|
| 354 |
+
"Treadmill",
|
| 355 |
+
"Tricycle",
|
| 356 |
+
"Tripod",
|
| 357 |
+
"Trolley",
|
| 358 |
+
"Trombone",
|
| 359 |
+
"Trophy",
|
| 360 |
+
"Truck",
|
| 361 |
+
"Trumpet",
|
| 362 |
+
"Tuba",
|
| 363 |
+
"Umbrella",
|
| 364 |
+
"Urinal",
|
| 365 |
+
"Van",
|
| 366 |
+
"Vase",
|
| 367 |
+
"Violin",
|
| 368 |
+
"Volleyball",
|
| 369 |
+
"Wallet/Purse",
|
| 370 |
+
"Washing Machine/Drying Machine",
|
| 371 |
+
"Watch",
|
| 372 |
+
"Watermelon",
|
| 373 |
+
"Wheelchair",
|
| 374 |
+
"Wild Bird",
|
| 375 |
+
"Wine Glass",
|
| 376 |
+
"Yak",
|
| 377 |
+
"Zebra",
|
| 378 |
+
"earphone"
|
| 379 |
+
]
|
| 380 |
+
}
|
train/objects365.annotations.tsv
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 2351562535
|
train/objects365.annotations.tsv.lineidx
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 17332098
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train/objects365.images.tsv.part00
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 199999892433
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train/objects365.images.tsv.part01
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 199995213790
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train/objects365.images.tsv.part02
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 53584903616
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train/objects365_hed.images.tsv.lineidx
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 20525408
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train/objects365_hed.images.tsv.part00
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 199999857118
|
train/objects365_hed.images.tsv.part01
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 67759954418
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validation/metadata.json
ADDED
|
@@ -0,0 +1,380 @@
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": "Objects365",
|
| 3 |
+
"split": "validation",
|
| 4 |
+
"total_samples": 80000,
|
| 5 |
+
"skipped": {
|
| 6 |
+
"no_image": 0,
|
| 7 |
+
"no_edge_map": 0,
|
| 8 |
+
"too_small": 0,
|
| 9 |
+
"no_boxes": 0,
|
| 10 |
+
"error": 0
|
| 11 |
+
},
|
| 12 |
+
"num_labels": 365,
|
| 13 |
+
"labels": [
|
| 14 |
+
"Air Conditioner",
|
| 15 |
+
"Airplane",
|
| 16 |
+
"Ambulance",
|
| 17 |
+
"American Football",
|
| 18 |
+
"Antelope",
|
| 19 |
+
"Apple",
|
| 20 |
+
"Asparagus",
|
| 21 |
+
"Avocado",
|
| 22 |
+
"Awning",
|
| 23 |
+
"Backpack",
|
| 24 |
+
"Bakset",
|
| 25 |
+
"Ballon",
|
| 26 |
+
"Banana",
|
| 27 |
+
"Baozi",
|
| 28 |
+
"Barbell",
|
| 29 |
+
"Barrel/bucket",
|
| 30 |
+
"Baseball",
|
| 31 |
+
"Baseball Bat",
|
| 32 |
+
"Baseball Glove",
|
| 33 |
+
"Basketball",
|
| 34 |
+
"Bathtub",
|
| 35 |
+
"Bear",
|
| 36 |
+
"Bed",
|
| 37 |
+
"Belt",
|
| 38 |
+
"Bench",
|
| 39 |
+
"Bicycle",
|
| 40 |
+
"Billards",
|
| 41 |
+
"Binoculars",
|
| 42 |
+
"Blackboard/Whiteboard",
|
| 43 |
+
"Blender",
|
| 44 |
+
"Board Eraser",
|
| 45 |
+
"Boat",
|
| 46 |
+
"Book",
|
| 47 |
+
"Boots",
|
| 48 |
+
"Bottle",
|
| 49 |
+
"Bow Tie",
|
| 50 |
+
"Bowl/Basin",
|
| 51 |
+
"Bracelet",
|
| 52 |
+
"Bread",
|
| 53 |
+
"Briefcase",
|
| 54 |
+
"Broccoli",
|
| 55 |
+
"Broom",
|
| 56 |
+
"Brush",
|
| 57 |
+
"Bus",
|
| 58 |
+
"Buttefly",
|
| 59 |
+
"CD",
|
| 60 |
+
"Cabbage",
|
| 61 |
+
"Cabinet/shelf",
|
| 62 |
+
"Cake",
|
| 63 |
+
"Calculator",
|
| 64 |
+
"Camera",
|
| 65 |
+
"Campel",
|
| 66 |
+
"Candle",
|
| 67 |
+
"Candy",
|
| 68 |
+
"Canned",
|
| 69 |
+
"Car",
|
| 70 |
+
"Carpet",
|
| 71 |
+
"Carriage",
|
| 72 |
+
"Carrot",
|
| 73 |
+
"Cat",
|
| 74 |
+
"Cell Phone",
|
| 75 |
+
"Cello",
|
| 76 |
+
"Chainsaw",
|
| 77 |
+
"Chair",
|
| 78 |
+
"Cheese",
|
| 79 |
+
"Cherry",
|
| 80 |
+
"Chicken",
|
| 81 |
+
"Chips",
|
| 82 |
+
"Chopsticks",
|
| 83 |
+
"Cigar/Cigarette ",
|
| 84 |
+
"Cleaning Products",
|
| 85 |
+
"Clock",
|
| 86 |
+
"Coconut",
|
| 87 |
+
"Coffee Machine",
|
| 88 |
+
"Coffee Table",
|
| 89 |
+
"Comb",
|
| 90 |
+
"Computer Box",
|
| 91 |
+
"Converter",
|
| 92 |
+
"Cookies",
|
| 93 |
+
"Corn",
|
| 94 |
+
"Cosmetics",
|
| 95 |
+
"Cosmetics Brush/Eyeliner Pencil",
|
| 96 |
+
"Cosmetics Mirror",
|
| 97 |
+
"Couch",
|
| 98 |
+
"Cow",
|
| 99 |
+
"Crab",
|
| 100 |
+
"Crane",
|
| 101 |
+
"Crosswalk Sign",
|
| 102 |
+
"Cucumber",
|
| 103 |
+
"Cue",
|
| 104 |
+
"Cup",
|
| 105 |
+
"Curling",
|
| 106 |
+
"Cutting/chopping Board",
|
| 107 |
+
"Cymbal",
|
| 108 |
+
"Deer",
|
| 109 |
+
"Desk",
|
| 110 |
+
"Dessert",
|
| 111 |
+
"Dinning Table",
|
| 112 |
+
"Dishwasher",
|
| 113 |
+
"Dog",
|
| 114 |
+
"Dolphin",
|
| 115 |
+
"Donkey",
|
| 116 |
+
"Donut",
|
| 117 |
+
"Drum",
|
| 118 |
+
"Duck",
|
| 119 |
+
"Dumbbell",
|
| 120 |
+
"Dumpling",
|
| 121 |
+
"Durian",
|
| 122 |
+
"Egg",
|
| 123 |
+
"Egg tart",
|
| 124 |
+
"Eggplant",
|
| 125 |
+
"Electric Drill",
|
| 126 |
+
"Elephant",
|
| 127 |
+
"Eraser",
|
| 128 |
+
"Extention Cord",
|
| 129 |
+
"Extractor",
|
| 130 |
+
"Fan",
|
| 131 |
+
"Faucet",
|
| 132 |
+
"Fire Extinguisher",
|
| 133 |
+
"Fire Hydrant",
|
| 134 |
+
"Fire Truck",
|
| 135 |
+
"Fishing Rod",
|
| 136 |
+
"Flag",
|
| 137 |
+
"Flask",
|
| 138 |
+
"Flower",
|
| 139 |
+
"Flute",
|
| 140 |
+
"Folder",
|
| 141 |
+
"Fork",
|
| 142 |
+
"Formula 1 ",
|
| 143 |
+
"French",
|
| 144 |
+
"French Fries",
|
| 145 |
+
"Frisbee",
|
| 146 |
+
"Game board",
|
| 147 |
+
"Garlic",
|
| 148 |
+
"Gas stove",
|
| 149 |
+
"Giraffe",
|
| 150 |
+
"Glasses",
|
| 151 |
+
"Globe",
|
| 152 |
+
"Gloves",
|
| 153 |
+
"Goldfish",
|
| 154 |
+
"Golf Ball",
|
| 155 |
+
"Golf Club",
|
| 156 |
+
"Goose",
|
| 157 |
+
"Grape",
|
| 158 |
+
"Grapefruit",
|
| 159 |
+
"Green Onion",
|
| 160 |
+
"Green Vegetables",
|
| 161 |
+
"Green beans",
|
| 162 |
+
"Guitar",
|
| 163 |
+
"Gun",
|
| 164 |
+
"Hair Dryer",
|
| 165 |
+
"Hamburger",
|
| 166 |
+
"Hamimelon",
|
| 167 |
+
"Hammer",
|
| 168 |
+
"Handbag/Satchel",
|
| 169 |
+
"Hanger",
|
| 170 |
+
"Hat",
|
| 171 |
+
"Head Phone",
|
| 172 |
+
"Heavy Truck",
|
| 173 |
+
"Helicopter",
|
| 174 |
+
"Helmet",
|
| 175 |
+
"High Heels",
|
| 176 |
+
"Hockey Stick",
|
| 177 |
+
"Horse",
|
| 178 |
+
"Hot dog",
|
| 179 |
+
"Hotair ballon",
|
| 180 |
+
"Hoverboard",
|
| 181 |
+
"Hurdle",
|
| 182 |
+
"Ice cream",
|
| 183 |
+
"Induction Cooker",
|
| 184 |
+
"Jellyfish",
|
| 185 |
+
"Jug",
|
| 186 |
+
"Kettle",
|
| 187 |
+
"Key",
|
| 188 |
+
"Keyboard",
|
| 189 |
+
"Kite",
|
| 190 |
+
"Kiwi fruit",
|
| 191 |
+
"Knife",
|
| 192 |
+
"Ladder",
|
| 193 |
+
"Lamp",
|
| 194 |
+
"Lantern",
|
| 195 |
+
"Laptop",
|
| 196 |
+
"Leather Shoes",
|
| 197 |
+
"Lemon",
|
| 198 |
+
"Lettuce",
|
| 199 |
+
"Lifesaver",
|
| 200 |
+
"Lighter",
|
| 201 |
+
"Lion",
|
| 202 |
+
"Lipstick",
|
| 203 |
+
"Lobster",
|
| 204 |
+
"Luggage",
|
| 205 |
+
"Machinery Vehicle",
|
| 206 |
+
"Mango",
|
| 207 |
+
"Marker",
|
| 208 |
+
"Mask",
|
| 209 |
+
"Meat ball",
|
| 210 |
+
"Medal",
|
| 211 |
+
"Megaphone",
|
| 212 |
+
"Microphone",
|
| 213 |
+
"Microwave",
|
| 214 |
+
"Mirror",
|
| 215 |
+
"Moniter/TV",
|
| 216 |
+
"Monkey",
|
| 217 |
+
"Mop",
|
| 218 |
+
"Motorcycle",
|
| 219 |
+
"Mouse",
|
| 220 |
+
"Mushroon",
|
| 221 |
+
"Napkin",
|
| 222 |
+
"Necklace",
|
| 223 |
+
"Nightstand",
|
| 224 |
+
"Noddles",
|
| 225 |
+
"Notepaper",
|
| 226 |
+
"Nuts",
|
| 227 |
+
"Okra",
|
| 228 |
+
"Onion",
|
| 229 |
+
"Orange/Tangerine",
|
| 230 |
+
"Other Balls",
|
| 231 |
+
"Other Fish",
|
| 232 |
+
"Other Shoes",
|
| 233 |
+
"Oven",
|
| 234 |
+
"Oyster",
|
| 235 |
+
"Paddle",
|
| 236 |
+
"Paint Brush",
|
| 237 |
+
"Papaya",
|
| 238 |
+
"Parking meter",
|
| 239 |
+
"Parrot",
|
| 240 |
+
"Pasta",
|
| 241 |
+
"Peach",
|
| 242 |
+
"Pear",
|
| 243 |
+
"Pen/Pencil",
|
| 244 |
+
"Pencil Case",
|
| 245 |
+
"Penguin",
|
| 246 |
+
"Pepper",
|
| 247 |
+
"Person",
|
| 248 |
+
"Piano",
|
| 249 |
+
"Pickup Truck",
|
| 250 |
+
"Picture/Frame",
|
| 251 |
+
"Pie",
|
| 252 |
+
"Pig",
|
| 253 |
+
"Pigeon",
|
| 254 |
+
"Pillow",
|
| 255 |
+
"Pineapple",
|
| 256 |
+
"Pizza",
|
| 257 |
+
"Plate",
|
| 258 |
+
"Pliers",
|
| 259 |
+
"Plum",
|
| 260 |
+
"Poker Card",
|
| 261 |
+
"Pomegranate",
|
| 262 |
+
"Pot",
|
| 263 |
+
"Potato",
|
| 264 |
+
"Potted Plant",
|
| 265 |
+
"Power outlet",
|
| 266 |
+
"Printer",
|
| 267 |
+
"Projector",
|
| 268 |
+
"Pumpkin",
|
| 269 |
+
"Rabbit",
|
| 270 |
+
"Radiator",
|
| 271 |
+
"Radish",
|
| 272 |
+
"Recorder",
|
| 273 |
+
"Red Cabbage",
|
| 274 |
+
"Refrigerator",
|
| 275 |
+
"Remote",
|
| 276 |
+
"Rice",
|
| 277 |
+
"Rice Cooker",
|
| 278 |
+
"Rickshaw",
|
| 279 |
+
"Ring",
|
| 280 |
+
"Router/modem",
|
| 281 |
+
"SUV",
|
| 282 |
+
"Sailboat",
|
| 283 |
+
"Sandals",
|
| 284 |
+
"Sandwich",
|
| 285 |
+
"Sausage",
|
| 286 |
+
"Saxophone",
|
| 287 |
+
"Scale",
|
| 288 |
+
"Scallop",
|
| 289 |
+
"Scissors",
|
| 290 |
+
"Scooter",
|
| 291 |
+
"Screwdriver",
|
| 292 |
+
"Seal",
|
| 293 |
+
"Sheep",
|
| 294 |
+
"Ship",
|
| 295 |
+
"Shovel",
|
| 296 |
+
"Showerhead",
|
| 297 |
+
"Shrimp",
|
| 298 |
+
"Side Table",
|
| 299 |
+
"Sink",
|
| 300 |
+
"Skateboard",
|
| 301 |
+
"Skating and Skiing shoes",
|
| 302 |
+
"Skiboard",
|
| 303 |
+
"Slide",
|
| 304 |
+
"Slippers",
|
| 305 |
+
"Sneakers",
|
| 306 |
+
"Snowboard",
|
| 307 |
+
"Soap",
|
| 308 |
+
"Soccer",
|
| 309 |
+
"Speaker",
|
| 310 |
+
"Speed Limit Sign",
|
| 311 |
+
"Spoon",
|
| 312 |
+
"Sports Car",
|
| 313 |
+
"Spring Rolls",
|
| 314 |
+
"Stapler",
|
| 315 |
+
"Steak",
|
| 316 |
+
"Stool",
|
| 317 |
+
"Stop Sign",
|
| 318 |
+
"Storage box",
|
| 319 |
+
"Strawberry",
|
| 320 |
+
"Street Lights",
|
| 321 |
+
"Stroller",
|
| 322 |
+
"Stuffed Toy",
|
| 323 |
+
"Surfboard",
|
| 324 |
+
"Surveillance Camera",
|
| 325 |
+
"Sushi",
|
| 326 |
+
"Swan",
|
| 327 |
+
"Swing",
|
| 328 |
+
"Table Teniis paddle",
|
| 329 |
+
"Table Tennis ",
|
| 330 |
+
"Tablet",
|
| 331 |
+
"Tape",
|
| 332 |
+
"Tape Measur/ Ruler",
|
| 333 |
+
"Target",
|
| 334 |
+
"Tea pot",
|
| 335 |
+
"Telephone",
|
| 336 |
+
"Tennis",
|
| 337 |
+
"Tennis Racket",
|
| 338 |
+
"Tent",
|
| 339 |
+
"Tie",
|
| 340 |
+
"Tissue",
|
| 341 |
+
"Toaster",
|
| 342 |
+
"Toilet",
|
| 343 |
+
"Toilet Paper",
|
| 344 |
+
"Toiletry",
|
| 345 |
+
"Tomato",
|
| 346 |
+
"Tong",
|
| 347 |
+
"Toothbrush",
|
| 348 |
+
"Towel",
|
| 349 |
+
"Traffic Light",
|
| 350 |
+
"Traffic Sign",
|
| 351 |
+
"Traffic cone",
|
| 352 |
+
"Train",
|
| 353 |
+
"Trash bin Can",
|
| 354 |
+
"Treadmill",
|
| 355 |
+
"Tricycle",
|
| 356 |
+
"Tripod",
|
| 357 |
+
"Trolley",
|
| 358 |
+
"Trombone",
|
| 359 |
+
"Trophy",
|
| 360 |
+
"Truck",
|
| 361 |
+
"Trumpet",
|
| 362 |
+
"Tuba",
|
| 363 |
+
"Umbrella",
|
| 364 |
+
"Urinal",
|
| 365 |
+
"Van",
|
| 366 |
+
"Vase",
|
| 367 |
+
"Violin",
|
| 368 |
+
"Volleyball",
|
| 369 |
+
"Wallet/Purse",
|
| 370 |
+
"Washing Machine/Drying Machine",
|
| 371 |
+
"Watch",
|
| 372 |
+
"Watermelon",
|
| 373 |
+
"Wheelchair",
|
| 374 |
+
"Wild Bird",
|
| 375 |
+
"Wine Glass",
|
| 376 |
+
"Yak",
|
| 377 |
+
"Zebra",
|
| 378 |
+
"earphone"
|
| 379 |
+
]
|
| 380 |
+
}
|
validation/objects365.annotations.tsv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cf166e89f1bf805c5f3a1894abd1bf7dd5be99dcf88c76612ecd1d628f0b357
|
| 3 |
+
size 123376217
|
validation/objects365.annotations.tsv.lineidx
ADDED
|
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|
|
|
validation/objects365.images.tsv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc819ec47d54c519c7ade3a1f13859ae94d631af6564c56a9dcb3047905efaf6
|
| 3 |
+
size 23768048907
|
validation/objects365_hed.images.tsv
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f425f26622f3dab7b834af216cc0058b02d36a6319fd29950acaa47469c8a01f
|
| 3 |
+
size 12797855765
|
validation/objects365_hed.images.tsv.lineidx
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|