How to Detect Small Objects

• sahi

  11 3,593 7.4 Python

  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!

• VisDrone-Dataset

  2 1,082 3.5

  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.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• model-comparison

  1 4 5.2 Python

  FiftyOne plugin for comparing object detection models

FiftyOne Plugin for Comparing Models on Specific Detections

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