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AIcrowd
Amazon Prime Air
Understand semantic segmentation and monocular depth estimation from downward-facing drone images
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See All| graded | 217632 | ||
| graded | 217621 | ||
| graded | 217190 |
5 Puzzles 21 Days. Can you solve it all?
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See All| graded | 175319 | ||
| graded | 175042 | ||
| graded | 175037 |
University of Saskatchewan
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| graded | 149266 | ||
| graded | 149264 |
Predict Mask & Bounding Box From Images
Latest submissions
See All| graded | 175319 | ||
| graded | 175042 | ||
| graded | 175037 |
Perform semantic segmentation on aerial images from monocular downward-facing drone
Latest submissions
See All| graded | 217632 | ||
| graded | 217621 | ||
| graded | 217190 |
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Mask Prediction
anna_mrukwa has not provided any information yet.
Notebooks
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U2Net Face deblurring using Nested U-Structure for Salient Object Detection; top1 - 0.798 SSIM scoreanna_mrukwa· About 2 years ago
The mistakes in the dataset
About 2 years agoHello, I would like to ask about some of the issues with the dataset - after loading it again for further data inspection and noticing stark contrasts in the sizes of the masks in some of the photos, we noticed that some of them are possibly displaced - not covering the face or any part of it -
and really small, where the other ones are considerably distorted. The issue persists in all three parts of the dataset, but we may have not identified all of the problematic photos. In the test dataset, some of them are:
In the attachment to this topic I include a simple notebook presenting some of the images that are related to the issue and could be detected via simple analysis.
@Shubhamaicrowd