Cereal box identification in store shelves using computer vision and a single train image per model.

Related tags

Deep Learningopencvcomputer-visionpython3object-detectionmulti-object-matching
Overview

Product Recognition on Store Shelves

Description

You can read the task description here.

Report

You can read and download our report here.

Step A - Multiple Product Detection

See the results in this jupyter notebook. Or download and run it!

result example in Step A

Step B - Multiple Instance Detection

See the results in this jupyter notebook. Or download and run it!

result example in Step B

Step C - Whole shelve challenge

See the results in this jupyter notebook. Or download and run it!

result example in Step C

Packages versions

cv2: 4.4.0

numpy: 1.19.2

matplotlib: 3.3.2

Extra

  • (Optional) If you want to visualize additional information such as plots of intermediate steps of the whole process, then download and run this jupyter notebook.

Team

Owner
Nicholas Baraghini
MSC Automation Engineer Student presso l'Università di Bologna | 🐉Dragon Rider | Curious Learner
Nicholas Baraghini
GitHub Repository
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