# Inferring Emotion Tags from Object Images Using Convolutional Neural Network
## 2 Proposed Methodology
### Data Annotation and Tagging
#### 2.2.3 Gender-Based Emotion Tag Assignment
\begin{table}
\begin{tabular}{c c} \hline \hline
**Emotion** & **Object Categories Associated with Different Emotion Tags** \\ \hline \multirow{4}{*}{Amusement} & Baseball-bat, sunflower, Base-ball glove, steering wheel, Basket-ball hoop, blimp, swan, bonsai, cactus, cartman, sushi, chimp, cormorant, desk globe, duck, elephant, elk, galaxy, goldfish, hamburger, ostrich, hibiscus, [PERSON], hummingbird, ibis, iris flower, palm tree, [PERSON], kangaroo, killer whale, lighthouse, people, pram, teddy bear, watch, waterfall \\ \hline \multirow{2}{*}{Anger} & Akt47, brain, harpsichord, dolphin, traffic light \\ \hline \multirow{2}{*}{Awe} & Butterfly, Conch, football helmet, goat, gorilla, awe, owl, unicorn \\ \hline \multirow{4}{*}{Boredom} & Backpack, chopstick, coin, stained glass, computer keyboard, computer monitor, computer mouse, clutter, tennis shoes, yo-yo, spoon, tweezer, doorknob, PCI card, face easy, tambourine, drinking straw, eyeglasses, stirrups, palm pilot, Swiss army knife, fire extinguisher, socks, fire hydrant, VCR, flashlight, projector, floppy disk, necktie, xylophone, fried egg, paper clip, frying pan, gas pump, license plate, light bulb, telephone box, hammock, hourglass, theodolite, mandolin, rotary phone, microscope, photocopier, screwdriver, mandolin, Piz-dispenser, Saturn, screwdriver, Segway, self-propelled lawnmower, sextant, teapot, wheelbarrow, washing machine \\ \hline \multirow{2}{*}{Contentment} & Bathtub, Contentment, Buda, calculator, car tire, dog, ewer, fern, Grapes, harmonica, ladder, lathe, refrigerator, tomato, yarmulke \\ \hline \multirow{2}{*}{Disgust} & An American flag, bat, Disgust, cockroach, frog, horseshoe crab, hot dog, house fly, isquana, \\  & toad, mussels, octopus, skunk, snail, trilobite, wine bottle \\ \hline \multirow{4}{*}{Excitement} & Billiards, binocular, birdbath, boom-box, bowling ball, bowling pin, bowling glow, cake, \\  & spaghetti, camel, cannon, canoe, CD, male box, Cereal box, chandelier, soda can, snowmobile, \\  & mushroom, chessboard, superman, coffee-mug, comet, covered wagon, cow-hat, diamond ring, \\  & mattress, dice, speed boat, megaphone, soccer ball, tower Pisa, treadmill, T-shirt, zebra, \\  & sneaker, dolphin, touring bike, top-hat, dump bell, Eiffel tower, electric guitar, fighter jet, \\  & fireworks, French horn, Frisbee, tricycle, giraffe, umbrella, tripod, golden gate bridge, paper \\  & shredder, tuning fork, rainbow, laptop, joystick, ice cream cone, golf ball, Kayak, goose, grand \\  & piano, guitar-pick, hot air balloon, headphone, hawksbill, telescope, roulette, school bus, \\  & wheel, saddle, tennis ball, skateboard, helicopter, horse, hot tub, iPod, picnic table, Ketch, \\  & porcupine, penguin, playing cards, skyscraper, smokestack, teepee, tennis court, tennis racket, \\  & toaster, watermelon, welding mask, windmill \\ \hline \multirow{2}{*}{Fear} & Bear, bulldozer, spider, Centipede, fire truck, grasshopper, greyhound, snake, human skeleton, \\  & knife, leopards, lightning, llama, mantis, raccoon, revolver, rifle, scorpion, syringe, Triceratops \\ \hline \multirow{2}{*}{Sad} & Coffin, tombstone \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Subjective labeling of bottom-level object categories with their respective emotions tags.