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

News Challenges
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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.

A user interface displays a detected objects prediction overlay on an image containing breakfast items like croissants, a cup, and utensils, with corresponding bounding boxes and scores on the right panel. (Captioned by AI)
A user interface displays a detected objects prediction overlay on an image containing breakfast items like croissants, a cup, and utensils, with corresponding bounding boxes and scores on the right panel. (Captioned by AI)1732Γ—765 109 KB

A bustling street in front of St. Peter's Basilica is shown with multiple objects like people, cars, and motorbikes identified and labeled by an object detection algorithm. (Captioned by AI)
A bustling street in front of St. Peter's Basilica is shown with multiple objects like people, cars, and motorbikes identified and labeled by an object detection algorithm. (Captioned by AI)1613Γ—819 132 KB

A Google Drive folder named AdventChallenge4 contains images of various scenes including croissants on plates, a laptop, buildings by the water, and swimming ducks. (Captioned by AI)
A Google Drive folder named AdventChallenge4 contains images of various scenes including croissants on plates, a laptop, buildings by the water, and swimming ducks. (Captioned by AI)1616Γ—679 108 KB

The image shows the ML Skills tab of a dashboard displaying details for an "ObjectDetectionMLSkill" including its status, deployment date, replica count, AI units, input and output descriptions, and resource allocations. (Captioned by AI)
The image shows the ML Skills tab of a dashboard displaying details for an "ObjectDetectionMLSkill" including its status, deployment date, replica count, AI units, input and output descriptions, and resource allocations. (Captioned by AI)1829Γ—494 56.1 KB

The image shows a table listing the details of the 'AdventChanllenge_4' process executed on the hostname 'SG-IND-7772' by the user 'ADITYA.MEHARE,' with each instance marked as successful and including information on state, start and end times, and source. (Captioned by AI)
The image shows a table listing the details of the 'AdventChanllenge_4' process executed on the hostname 'SG-IND-7772' by the user 'ADITYA.MEHARE,' with each instance marked as successful and including information on state, start and end times, and source. (Captioned by AI)1336Γ—307 60.9 KB

Advent Challenge 4.uiapp (174.0 KB)

UiPath Studio Project
AdventChanllenge_4.zip (7.2 KB)

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