{"id":621,"date":"2015-06-19T00:29:43","date_gmt":"2015-06-18T21:29:43","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=621"},"modified":"2019-06-06T16:08:26","modified_gmt":"2019-06-06T13:08:26","slug":"imagga-and-6-alternative-image-recognition-services","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/imagga-and-6-alternative-image-recognition-services\/","title":{"rendered":"Imagga and 6 alternative image recognition services"},"content":{"rendered":"

In a recent post on the newly introduced component of Wolfram\u2019s language for image identification ImageIdentify\u00a0Jordan Novet<\/a> of Venture Beat conducted a quick test of ImageIdentify against 5 deep learning platforms<\/a> for image recognition he chose. He selected \u201c10 images from Flickr that seemed to clearly fall into the 1,000 categories used for the 2014 ImageNet visual recognition competition.\u201d and tagged them with ImageIdentify and 5 alternative image recognition services.<\/p>\n

As one of the very first platforms as a service, offering such functionality worldwide, we felt we should join this funny experiment and make our humble contribution, by adding the tags Imagga\u2019s image recognition technology generated for the same 10 photos. You can try with your own photos using Imagga\u00a0online image recognition demo<\/a>.<\/p>\n

We better leave the results speak for themselves.<\/strong> Please take all this with a grain of salt and don\u2019t forget that these results are obtained for just 10 randomly selected photos \ud83d\ude42<\/p>\n

1. Coffee Mug<\/h3>\n

\"Coffee<\/p>\n

Imagga:<\/strong> cup, mug, coffee mug, drinking vessel, beverage, punch, container, coffee, drink, vessel<\/p>\n

Wolfram ImageIdentify:<\/strong> tea
\nCamFind:<\/strong> white ceramic mug
\nClarifai:<\/strong> coffee cup nobody tea mug cafe hot ceramic coffee cup cutout
\nMetaMind:<\/strong> Coffee mug
\nOrbeus:<\/strong> cup
\nAlchemyAPI:<\/strong> coffee<\/p>\n

2. Mushroom<\/h3>\n

\"Mushroom\"<\/p>\n

Imagga:<\/strong> vegetable, produce, mushroom, food, fungus, cap, organic, lush, moss, forest<\/p>\n

Wolfram ImageIdentify:<\/strong> magic mushroom
\nCamFind:<\/strong> white mushroom
\nClarifai:<\/strong> mushroom fungi fungus toadstool nature grass fall moss forest autumn
\nMetaMind:<\/strong> Mushroom
\nOrbeus:<\/strong> fungus
\nAlchemyAPI:<\/strong> mushroom<\/p>\n

3. Spatula<\/h3>\n

\"Spatula\"<\/p>\n

Imagga:<\/strong> microphone, spatula, business, turner, black, device, knife, technology, hand, cooking utensil<\/p>\n

Wolfram ImageIdentify:<\/strong> spatula
\nCamFind:<\/strong> black kitchen turner
\nClarifai:<\/strong> steel wood knife handle iron fork equipment nobody tool chrome
\nMetaMind:<\/strong> spatula
\nOrbeus:<\/strong> tool
\nAlchemyAPI:<\/strong> knife<\/p>\n

4. Scoreboard<\/h3>\n

\"Scoreboard\"<\/p>\n

Imagga:<\/strong> signboard, scoreboard, board<\/p>\n

Wolfram ImageIdentify:<\/strong> scoreboard
\nCamFind:<\/strong> baseball scoreboard
\nClarifai:<\/strong> scoreboard soccer stadium football game competition goal group north america match
\nMetaMind:<\/strong> Scoreboard
\nOrbeus:<\/strong> billboard
\nAlchemyAPI:<\/strong> sport<\/p>\n

5. German Shepherd<\/h3>\n

\"German<\/p>\n

Imagga:<\/strong> shepherd dog, german shepherd, dog, canine, domestic animal, kelpie, doberman, pinscher, pet, animal<\/p>\n

Wolfram ImageIdentify:<\/strong> German shepherd
\nCamFind:<\/strong> black and brown German shepherd
\nClarifai:<\/strong> dog canine cute puppy mammal loyalty grass sheepdog fur German hepherd
\nMetaMind:<\/strong> German Shepherd, German Shepherd Dog, German Police Dog, Alsatian
\nOrbeus:<\/strong> animal
\nAlchemyAPI:<\/strong> dog<\/p>\n

6. Toucan<\/h3>\n

\"Toucan\"<\/p>\n

Imagga:<\/strong> volleyball, ball, people, man, black, racket, body, person, game equipment, equipment (nice try)<\/p>\n

Wolfram ImageIdentify:<\/strong> tufted puffin
\nCamFind:<\/strong> toucan bird
\nClarifai:<\/strong> bird one north america nobody animal people adult nature two outdoors
\nMetaMind:<\/strong> toucan
\nOrbeus:<\/strong> animal
\nAlchemyAPI:<\/strong> sport<\/p>\n

7. Indian Cobra<\/h3>\n

\"Indian<\/p>\n

Imagga:<\/strong> Indian cobra, cobra, snake, thunder snake<\/p>\n

Wolfram ImageIdentify:<\/strong> black-necked cobra
\nCamFind:<\/strong> brown and beige cobra snake
\nClarifai:<\/strong> snake nobody reptile cobra wildlife daytime sand rattlesnake north america desert
\nMetaMind:<\/strong> Indian cobra, Naja Naja
\nOrbeus:<\/strong> animal
\nAlchemyAPI:<\/strong> snake<\/p>\n

8. Strawberry<\/h3>\n

\"Strawberry\"<\/p>\n

Imagga:<\/strong> berry, strawberry, fruit, edible fruit, produce, food, strawberries, juicy, sweet, dessert<\/p>\n

Wolfram ImageIdentify:<\/strong> strawberry
\nCamFind:<\/strong> red strawberry ruit
\nClarifai:<\/strong> fruit sweet food strawberry ripe juicy berry healthy isolated delicious
\nMetaMind:<\/strong> strawberry
\nOrbeus:<\/strong> strawberry
\nAlchemyAPI:<\/strong> berry<\/p>\n

9. Wok<\/h3>\n

\"Wok\"<\/p>\n

Imagga:<\/strong> plate, pan, wok, china, porcelain, food, dinner, cooking utensil, utensil, delicious<\/p>\n

Wolfram ImageIdentify:<\/strong> cooking pan
\nCamFind:<\/strong> gray steel frying pan
\nClarifai:<\/strong> ball nobody pan cutout kitchenware north america tableware competition bowl glass
\nMetaMind:<\/strong> wok
\nOrbeus:<\/strong> frying pan
\nAlchemyAPI:<\/strong> (No tags)<\/p>\n

10. Shoe store<\/h3>\n

\"Shoe<\/p>\n

Imagga:<\/strong> black, symbol, business, food, design, pattern, sign, art, traditional<\/p>\n

Wolfram ImageIdentify:<\/strong> store
\nCamFind:<\/strong> black crocs
\nClarifai:<\/strong> colour street people color car mall road fair architecture hotel
\nMetaMind:<\/strong> Shoe Shop, Shoe Store
\nOrbeus:<\/strong> shoe shop
\nAlchemyAPI:<\/strong> sport<\/p>\n

The fun part aside, we are quite interested to see soon a more comprehensive subjective and objective evaluation of all these services, including Imagga, with their pros and cons, on more representative and rich datasets, and depending on the way the tags will be used in different verticals and applications.<\/p>\n

Competition is an important driver for every industry, so we are more than open to participate in such kinds of service comparisons and may even initiate such a comparison in the very near future.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

In a recent post on the newly introduced component of Wolfram\u2019s language for image identification ImageIdentify\u00a0Jordan Novet of Venture Beat […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[],"yoast_head":"\nImagga & 6 other image recognition services<\/title>\n<meta name=\"description\" content=\"Comparison of Imagga's image tagging with 6 similar services. 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