There are 21 repositories under small-object-detection topic.
🕶 A curated list of Tiny Object Detection papers and related resources.
Python library for YOLO small object detection and instance segmentation
🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
The official implementation for ICCV'23 paper "Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning"
This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
Code for paper "Detection of Flying Honeybees in UAV Videos"
Official code library for SODA: A Large-scale Benchmark for Small Object Detection.
[BMVC-20] Official PyTorch implementation of PPDet.
[ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
Official implementation of "Exploiting Scale-Variant Attention for Segmenting Small Medical Objects"
FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images (TGRS 2022)
[ICCV 2021] Annotations for the Aircraft Context Dataset
2023年西交利物浦大学动云科技GMaster战队雷达yolo小目标检测
LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images (Remote Sens. 2021)
YOLO-TLP: detected and classified tiny objects with bounding box dimensions smaller than 15 pixels, outperforming other one-stage detectors. maximum resolution for target observation in real-time applications.
An official code of Densely-packed Object Detection via Hard Negative-Aware Anchor Attention in WACV2022
Implementation of 'Attention-guided Feature Fusion for Small Object Detection'
Comprehensive framework for training and evaluating YOLO models on the TinyPerson dataset for small object detection. This repository provides tools to benchmark different YOLO model versions (v8, v9, v10, v11, v12) on detecting small persons in images
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
The SODA Dataset is a computer vision dataset containing aerial imagery of small objects captured at different altitudes. The dataset contains 829 images and 6719 object annotations.
Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.
Official pytorch implementation for FEN (Feature Enhancement Network)
[TASE 2024] SFCNet: Automated Non-Invasive Analysis of Motile Sperms Using Sperm Feature-Correlated Network
[ACCV 2022] AirBirds: A Large-scale Dataset for Bird Strike Prevention in Real-world Airports
This repository contains notebooks for training and testing yolov5/X and also contains visualization code.
Implementation of small object detection using Detectron2 with a Faster R-CNN (ResNet-50 FPN) backbone. The project fine-tunes a COCO-pretrained model on a custom vehicle dataset.
Tile your highres images to squares in FiftyOne directly to train for small object detection purpose (e.g. with SAHI)
MBGv2 dataset frame slicing & further YOLOv8 training experiments for Aedes aegypti breeding sites detection.
Archipelago 2025 hack repo: automatic recognition of objects (people) in images obtained from UAVs
Small Object Detection Using Satellite Images
This project integrates SAHI with YOLOv8 for efficient object detection, supporting image, video, and real-time webcam feeds. By using SAHI's slicing technique, it improves detection in complex or high-resolution scenarios. Ideal for versatile object detection needs with state-of-the-art performance.