Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Small object detection refers to the task of identifying and localizing objects that are relatively small in size within digital images. These objects typically have limited spatial extent and low pixel coverage and may be challenging to detect due to their small appearance and low signal-to-noise ratio.
This is solved to a certain extent using techniques like Image pyramids, multi-scale training, data augmentation, etc. But SAHI provides a revolutionary pipeline for the detection of small objects.
So without further ado, let's jump into the video
| Slicing Aided Hyper Inference for Small Object Detection - SAHI |
The accompanying code for the blog post can be found here:
| Download Code |
Cheers,
Satya
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