YOLOGO

Brand Logo Detection Using YOLOv3

Dataset

• Source: Flickr Logos 27

• Consists of 27 brands: Adidas, Apple, BMW, Citroen, Coca Cola, DHL, Fedex, Ferrari, Ford, Google, Heineken, HP, McDonalds, Mini, Nbc, Nike, Pepsi, Porsche, Puma, Red Bull, Sprite, Starbucks, Intel, Texaco, Unisef, Vodafone, and Yahoo

API

• Construct a RESTful API using Flask library for Python 3 for 2 weights: YOLOv3 (default weight) and YOLOGO (brand logo weight)

• Protocol: POST

• YOLOv3 address: [HOST]:8080/model_1

• YOLOGO address: [HOST]:8080/model_2

• Structure: multipart-form with field file to save the request image

• Return a JSON file, if the image is valid then return class, bounding box, and confident of objects

• Example:

Input: curl -F file=@dog.jpg [HOST]:8080/model_1
Output:
{
  "code":0,
  "description":"OK",
  "objects":[
    {"bbox":{"h":328,"w":179,"x":134,"y":214}, "class":"dog","conf":0.9993382096290588},
    {"bbox":{"h":324,"w":490,"x":99,"y":124}, "class":"bicycle","conf":0.993359386920929},
    {"bbox":{"h":87,"w":208,"x":476,"y":81},"class":"truck","conf":0.9153257608413696}
  ]
}

Website

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