The Open Brands Dataset: Unified brand detection and recognition at scale

12/14/2020
by   Xuan Jin, et al.
0

Intellectual property protection(IPP) have received more and more attention recently due to the development of the global e-commerce platforms. brand recognition plays a significant role in IPP. Recent studies for brand recognition and detection are based on small-scale datasets that are not comprehensive enough when exploring emerging deep learning techniques. Moreover, it is challenging to evaluate the true performance of brand detection methods in realistic and open scenes. In order to tackle these problems, we first define the special issues of brand detection and recognition compared with generic object detection. Second, a novel brands benchmark called "Open Brands" is established. The dataset contains 1,437,812 images which have brands and 50,000 images without any brand. The part with brands in Open Brands contains 3,113,828 instances annotated in 3 dimensions: 4 types, 559 brands and 1216 logos. To the best of our knowledge, it is the largest dataset for brand detection and recognition with rich annotations. We provide in-depth comprehensive statistics about the dataset, validate the quality of the annotations and study how the performance of many modern models evolves with an increasing amount of training data. Third, we design a network called "Brand Net" to handle brand recognition. Brand Net gets state-of-art mAP on Open Brand compared with existing detection methods.

READ FULL TEXT

page 1

page 2

page 3

research
11/02/2018

The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale

We present Open Images V4, a dataset of 9.2M images with unified annotat...
research
05/02/2022

NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms

Crack detection plays a key role in automated pavement inspection. Altho...
research
09/10/2022

IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

Object detection has always been practical. There are so many things in ...
research
07/21/2022

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

Recognizing scenes and objects in 3D from a single image is a longstandi...
research
03/11/2021

Triple-cooperative Video Shadow Detection

Shadow detection in a single image has received significant research int...
research
06/03/2023

Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection

Safety clothing and helmets play a crucial role in ensuring worker safet...
research
11/18/2019

Large Scale Open-Set Deep Logo Detection

We present an open-set logo detection (OSLD) system, which can detect (l...

Please sign up or login with your details

Forgot password? Click here to reset