MMUZAMMUL/GOIS
Enhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An Efficient Dynamic Adaptive Framework for Fine-Tuned and Non-Fine-Tuned Deep Learning Models
This project helps improve the detection of very small objects in images or video streams, which is a common challenge in fields like drone surveillance or remote sensing. It takes your existing high-resolution images or videos and an object detection model, then outputs more accurate results with tiny objects clearly identified. This tool is for researchers and engineers working with computer vision models for tasks where spotting small details is critical.
Use this if you need to reliably find tiny objects in high-resolution images or video, especially in crowded or complex environments.
Not ideal if your primary goal is detecting large or medium-sized objects, or if you require real-time processing on very resource-constrained devices without specialized hardware.
Stars
18
Forks
2
Language
Python
License
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Category
Last pushed
Mar 03, 2026
Commits (30d)
0
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