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An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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VisDrone-Dataset
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
To illustrate how SAHI can be applied to detect small objects, we will use the VisDrone detection dataset from the AISKYEYE team at the Lab of Machine Learning and Data Mining, Tianjin University, China. This dataset consists of 8,629 images with side lengths ranging from 360 pixels to 2,000 pixels, making it an ideal testing ground for SAHI. Ultralytics’ YOLOv8l will serve as our base object detection model.
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FiftyOne Plugin for Comparing Models on Specific Detections