How to Detect Small Objects

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  1. sahi

    Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

    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!

  2. CodeRabbit

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  3. 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.

  4. model-comparison

    FiftyOne plugin for comparing object detection models

    FiftyOne Plugin for Comparing Models on Specific Detections

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