πŸŽ„ 2024 Advent Challenge 4: Unwrap the Magic of Object Detection 🎁

:santa: Are you ready for our last Challenge? Ho, ho, ho! :gift:

It’s time to spread holiday cheer and sprinkle some automation magic with our next Advent Challenge of the season! Whether you’re cozied up in a snowy wonderland :snowflake: or dreaming of sandy beaches :desert_island:, this challenge will add a festive twist to your automation journey. :sparkles:

:date: Deadline for Submissions: December 19, 2024, 11:59 PM (your time zone)

This time, your goal is to help Santa with some extra holiday magic of object detection… :christmas_tree:

:christmas_tree: How to Join the Festivities?

Create an automation that:

  • Deploys a pre-trained YOLO-based Object Detection model using the COCO dataset to identify objects in images.
  • Tests the model by passing an image through the ML Skill Activity and extracting the predicted byte array.
  • Uses a byte-to-image converter to visualize the detected objects with bounding boxes and class labels.

:gift::computer: Show off your automation wizardry and compete for some fantastic UiPath swag!

:tada: Good Luck, Automation Elves! Spread the word, share your creations, and fill this thread with holiday automation magic! :gift: The countdown to a more automated holiday starts NOW! :hourglass_flowing_sand:

Ready, set, spread the cheer! :santa::christmas_tree::love_letter:

10 Likes

**hii!!!,@pradeep_ch thank you for creating this challenge!! ,let’ Unwrap Object Magic! **

here is my solution for this challenge!!,

Object_Detection_UiPath_Challenge_RE.zip (5.7 MB)

where i have used ML skills from UiPath AI centre

output which i’m getting as shown below

2 Likes

Hi @pradeep_ch Thank you so much for creating this challenge.
It’s a fantastic opportunity to learn, grow, and celebrate the spirit of automation :confetti_ball: :christmas_tree:
Here is my solution
Advent_Challenge_4.zip (2.2 MB)

Let’s keep spreading holiday cheer through automation magic! :santa::christmas_tree::sparkles:

Happy Automation!

3 Likes

Hi @pradeep_ch , This one was really fascinating to work with. Few months back this capability seemed to be a long shot for low code solutions.

Awesome to see UiPath making it accessible to all aspirants.

Here is my final submission for Challenge Number 4.

  1. Here is the activity utilized for the this task.
  2. Folders used to process & store output
  3. Following are the results for varying input categories with ranging backgrounds.

A)A family is shopping in a grocery store, and an object detection model incorrectly identifies a person as a dog with a confidence level of 51%.

B) Here object detection model has labeled two people and a dog, with one misclassification identifying the dog as a β€œteddy bear” with 66% confidence.

C) Shows that the Yolo model is pretty well optimized for traffic scenarios.

That was all. Once again thanks all the seniors for this opportunity. Ya’ll have an awesome holiday season.
Project -
AdventC4_HS.zip (8.5 KB)

Cheers !

4 Likes

:tada: 2024 Advent Challenge – Day 4 Complete! :christmas_tree::sparkles:

Challenge 4: Unrap the Magic of Object Detection Bot :white_check_mark:

:star2: This challenge was the perfect combination of creativity and automation! I had the opportunity to design a smart, efficient, and personalized system to spread holiday cheer. :gift:

A big thank you to @lakshman and @loredana_ifrim for this amazing opportunity!

:bulb: Here’s my solution:

Unrap the Magic of Object Detection_AdventChallenge4.zip (5.9 MB)

3 Likes

Thank you @pradeep_ch for the challenge!

Here is my submission:

Input Image:

Output Image:

Code Demo:
Advent Challenge 4

Code:
ObjScanner.zip (1.5 MB)

3 Likes

Hi @pradeep_ch ,

Its really a great challenge. :fire:

Magic_Of_ObjectDetection.zip (1023.0 KB)

@loredana_ifrim

Thanks,
:sunny:

2 Likes

It was really great opportunity to learn about OOB models and AI center.
Thanks @pradeep_ch for the challenge.

Here is my submission.
UiPath App to upload file to Storage Bucket, and trigger a process. Job Downloads file from storage bucket and process using deployed ML skill and uploads file to Google drive to display on App.
File can be download from App.

Advent Challenge 4.uiapp (174.0 KB)

UiPath Studio Project
AdventChanllenge_4.zip (7.2 KB)

2 Likes