ImageMonkey / imagemonkey-core

ImageMonkey is an attempt to create a free, public open source image dataset.
https://imagemonkey.io
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"ObjectNet" - another dataset #272

Open dobkeratops opened 4 years ago

dobkeratops commented 4 years ago

http://news.mit.edu/2019/object-recognition-dataset-stumped-worlds-best-computer-vision-models-1210?fbclid=IwAR3SnpB8P5ecs4Z8KrOVw1i-WedYYPqOtV5DuT4rszkyBUcvgsP0WLqmGdQ

Only just discovered this (the article is from december 19)

dobkeratops commented 4 years ago

Here's their label list, from the paper:

Air freshener, Alarm clock, Backpack, Baking sheet, Banana, Bandaid, Baseball bat, Baseball glove, Basket,
Bathrobe, Bath towel, Battery, Bed sheet, Beer bottle, Beer can, Belt, Bench, Bicycle, Bike pump, Bills
(money), Binder (closed), Biscuits, Blanket, Blender, Blouse, Board game, Book (closed), Bookend, Boots,
Bottle cap, Bottle opener, Bottle stopper, Box, Bracelet, Bread knife, Bread loaf, Briefcase, Brooch, Broom,
Bucket, Butcher’s knife, Butter, Button, CD/DVD case, Calendar, Can opener, Candle, Canned food, Cellphone,
Cellphone case, Cellphone charger, Cereal, Chair, Cheese, Chess piece, Chocolate, Chopstick, Clothes hamper,
Clothes hanger, Coaster, Coffee beans, Coffee grinder, Coffee machine, Coffee table, Coin (money), Comb,
Combination lock, Computer mouse, Contact lens case, Cooking oil bottle, Cork, Cutting board, DVD player,
Deodorant, Desk lamp, Detergent, Dishrag or hand towel, Dish soap, Document folder (closed), Dog bed,
Doormat, Drawer (open), Dress, Dress pants, Dress shirt, Dress shoe (men), Dress shoe (women), Drill, Drinking
Cup, Drinking straw, Drying rack for clothes, Drying rack for plates, Dust pan, Earbuds, Earring, Egg, Egg carton,
Envelope, Eraser (white board), Extension cable, Eyeglasses, Fan, Figurine or statue, First aid kit, Flashlight,
Floss container, Flour container, Fork, French press, Frying pan, Glue container, Hair brush, Hair clip, Hair
dryer, Hair tie, Hammer, Hand mirror, Handbag, Hat, Headphones (over ear), Helmet, Honey container, Ice, Ice
cube tray, Iron, Ironing board, Jam, Jar, Jeans, Kettle, Keyboard, Key chain, Ladle, Lampshade, Laptop (open),
Laptop charger, Leaf, Leggings, Lemon, Letter opener, Lettuce, Light bulb, Lighter, Lipstick, Loofah, Magazine,
Makeup, Makeup brush, Marker, Match, Measuring cup, Microwave, Milk, Mixing/Salad Bowl, Monitor, Mouse
pad, Mouthwash, Mug, Multitool, Nail, Nail clippers, Nail file, Nail polish, Napkin, Necklace, Newspaper, Night
light, Nightstand, Notebook, Notepad, Nut for a screw, Orange, Oven mitts, Padlock, Paintbrush, Paint can,
Paper, Paper bag, Paper plates, Paper towel, Paperclip, Peeler, Pen, Pencil, Pepper shaker, Pet food container,
Landline phone, Photograph, Pill bottle, Pill organizer, Pillow, Pitcher, Placemat, Plastic bag, Plastic cup, Plastic
wrap, Plate, Playing cards, Pliers, Plunger, Pop can, Portable heater, Poster, Power bar, Power cable, Printer,
Raincoat, Rake, Razor, Receipt, Remote control, Removable blade, Ribbon, Ring, Rock, Rolling pin, Ruler,
Running shoe, Safety pin, Salt shaker, Sandal, Scarf, Scissors, Screw, Scrub brush, Shampoo bottle, Shoelace,
Shorts, Shovel, Skateboard, Skirt, Sleeping bag, Slipper, Soap bar, Soap dispenser, Sock, Soup Bowl, Sewing kit,
Spatula, Speaker, Sponge, Spoon, Spray bottle, Squeegee, Squeeze bottle, Standing lamp, Stapler, Step stool,
Still Camera, Sink Stopper, Strainer, Stuffed animal, Sugar container, Suit jacket, Suitcase, Sunglasses, Sweater,
Swimming trunks, T-shirt, TV, Table knife, Tablecloth, Tablet, Tanktop, Tape, Tape measure, Tarp, Teabag,
Teapot, Tennis racket, Thermometer, Thermos, Throw pillow, Tie, Tissue, Toaster, Toilet paper roll, Tomato,
Tongs, Toothbrush, Toothpaste, Tote bag, Toy, Trash bag, Trash bin, Travel case, Tray, Trophy, Tweezers,
Umbrella, USB cable, USB flash drive, Vacuum cleaner, Vase, Video camera, Walker, Walking cane, Wallet,
Watch, Water bottle, Water filter, Webcam, Weight (exercise), Weight scale, Wheel, Whisk, Whistle, Wine bottle,
Wine glass, Winter glove, Wok, Wrench, Ziploc bag
dobkeratops commented 4 years ago

just flicking through..

bbernhard commented 4 years ago

very cool, many thanks for sharing! :)

I like the fact that they try to "break" neural nets. :D

I am wondering if one could gamify collecting those type of images. e.g: by combining random labels and asking the user to snap a photo that shows that. e.g: snap a photo that shows an "apple in a plant pot", "spoon on the television", etc.