This is the official Kaggle competition for the 2021-22 MLDS Long Competition at UT Austin. You can find all necessary information in the "Data" tab above. This competition is comprised of 20,000 different synthetic images, with 10,000 as a training and testing set and the other 10,000 as the final validation and scoring set. You will be graded on how well you can identify 38 unique objects in each scene by giving a confidence that it exists for each image. The final deadline for this project is currently set to midnight on April 17th, 2022. A PowerPoint with further explanation can be found in the "Data" tab under `Custom Image Object Detection.pptx`

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