dacl.ai

🐶Platform for enthusiasts in the field of damage recognition
on buildings | Take part in the dacl-challenge & workshop @ #WACV2024! | Research by @unibw_m

[dacl.ai @dacl_ai]

🐶📢Only two days left until our "1st Workshop on Vision-Based Structural Inspections in Civil Engineering" @ #WACV2024 on Sunday, January 7th! The room is Paniolo I-II. Attached you can find the timetable. We are looking forward to welcoming you!

[dacl.ai @dacl_ai]

And also a big thank you to the sponsors of the prize money: @NetApp and https://t.co/h8RKAOmwe6! 🙏

[dacl.ai @dacl_ai]

🏁The dacl-challange is over!
Many thanks to all 23 participants – really great work!👏

But now to the winners: Congratulations to 🥇Sheorans, 🥈Bridge Protector, and 🥉 Winning Wieners! Congrats from the dacl team 🐶

https://t.co/c2dkVXLFE6

[dacl.ai @dacl_ai]

And a big thank you to the sponsors of the prize money: @NetApp and https://t.co/h8RKAOmwe6! 🙏

[dacl.ai @dacl_ai]

Please upload your Fact-Sheet to https://t.co/8fHO71k4hB

[dacl.ai @dacl_ai]

▶️The eval_ai team has fixed the database error and the evaluation is running again. Due to that we will #extend the submission period. Both, End of Challenge and Fact-Sheet Submission will be on November 14, 2023 (23:59:59 UTC)! #daclchallenge #wacv2024 https://t.co/uXZM1HZuZs

[dacl.ai @dacl_ai]

@dishant_padalia Thanks for reaching out! We will inform you tomorrow about this.

[dacl.ai @dacl_ai]

📢Again, we are encountering an issue during submission of results to the dacl-challenge. We are working on a solution. We will inform you here via X about updates.

[dacl.ai @dacl_ai]

📢Evaluation works again, we will inform you soon about an extension of the challenge end. Again, sry for the inconveniences!

[dacl.ai @dacl_ai]

The issue was fixed! Evaluation of submissions works again! Sorry to all participants who were confronted with this! For the submissions that were stuck at "submitted", results are displayed now.

[dacl.ai @dacl_ai]

📢We are currently encountering an issue during submission of results to the dacl-challenge. We are working on a solution. We will inform you here via X.

[dacl.ai @dacl_ai]

📢The data split for the Testfinal Phase was released!
It can be downloaded here:
GigaMove: https://t.co/mQVik5fwED
or AWS: https://t.co/7FnGmXhNb0

We wish you good luck! Don't forget to upload the fact-sheet until November 12, 2023 (23:59:59 UTC)!

[dacl.ai @dacl_ai]

📢We have updated the description of the submission file format (JSONL). Check it out here: https://t.co/Nz9UbndJSm

[dacl.ai @dacl_ai]

📢We have an on-going #SemanticSegmentation challenge @eval_ai for our workshop @wacv_official

▶️Domain: #CivilEngineering
▶️Task: Detect damages & other objects on bridges
▶️Dataset: #dacl10k with about 10k images
🏆Win up to $3.000

#evalai #WACV2024
https://t.co/uXZM1HYX9U

[dacl.ai @dacl_ai]

@SupriyaArKr09 @scroll_in Hi, we push forward automated visual bridge damage recognition with our challenge on dacl10k, a novel semantic bridge damage segmentation dataset. Check it out and maybe participate!🐶 https://t.co/IovpYD3UeS

[dacl.ai @dacl_ai]

🎉We are happy to announce the 1st Workshop on Vision-Based Structural Inspections in Civil
Engineering @wacv_official🌉⛑️

Be part of the dacl-challenge - a challenge for Semantic Bridge Damage Segmentation and wiz prizes up to $3.000🏆 @unibw_m
@bauhaus_uni #WACV2024 #dacl10k

[dacl.ai @dacl_ai]

We have just integrated the #dacl10k dataset into #FiftyOne. With this handy visualization tool you can easily explore the dataset. Thanks to @Voxel51!

Don't miss our dacl-challenge @wacv_official and win up to $3,000!

https://t.co/JwOkw6jgnE https://t.co/k4ebkEdMso #WACV2024

[dacl.ai @dacl_ai]

You can now explore dacl10k in your browser thanks to @Voxel51🫶!!!
Go to: https://t.co/JwOkw6jgnE

[dacl.ai @dacl_ai]

🎉We are happy to announce the 1st Workshop on Vision-Based Structural Inspections in Civil
Engineering @wacv_official🌉⛑️

Be part of the dacl-challenge - a challenge for Semantic Bridge Damage Segmentation and wiz prizes up to $3.000🏆 @unibw_m
@bauhaus_uni #WACV2024 #dacl10k

[dacl.ai @dacl_ai]

➡️Workshop: https://t.co/E0gWim0caS
➡️Paper: https://t.co/X65kMInto5
➡️Dataset: https://t.co/bN0YSztahm