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on
1
Introduction
2
About me
3
Agenda
4
Online classifieds
5
Similar to eBay
6
Buyers want to see things clearly
7
People dont think this is important
8
Hypothesis
9
Silence Detection
10
Bounding Box
11
Image Background Removal
12
Theoretical Introduction
13
DSS Network
14
Tensorflow
15
Output
16
Mask
17
Experiments
18
Results
19
Conclusions
20
Model selection
21
Cropping service
22
Engagement rings
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Image enhancer
24
Image hosting
25
Slack
26
Backend
27
Hole in infrastructure
28
What is Cropper
29
Service timeout
30
Summary
31
Progress
32
Conservation
33
Conclusion
Description:
Explore the development of an automatic image cropping system for online classifieds in this conference talk from MLCon. Learn how OLX, a platform for online classifieds, implemented a deep learning model to create attractive thumbnail images, focusing on crucial visual elements to boost buyer engagement. Discover the journey from research project to production system, including the cropping model's design, architectural decisions, and implementation details. Gain insights into utilizing AWS, Kubernetes, Python, and TensorFlow for this innovative solution. Understand the importance of clear visual impressions in e-commerce, particularly for categories like fashion, and how this system addresses the challenge. Follow the speaker's process, from theoretical introduction to practical experiments, model selection, and service implementation. Examine the impact on user engagement and the lessons learned throughout the project's development and deployment.

Automatic Image Cropping for Online Classifieds

MLCon | Machine Learning Conference
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