[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Video-based object counting software.

The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm

Official code for "Object counting and instance segmentation with image-level supervision", in CVPR 2019 and TPAMI 2020

InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition (NeurIPS 2025)

ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

Few-shot Object Counting and Detection (ECCV 2022)

[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More

YOLOv8 Object Tracking and Counting using PyTorch, OpenCV and DeepSORT, deployed on Streamlit.

Code for paper "From Crowd to Herd Counting: How to Precisely Detect and Count African Mammals using Aerial Imagery and Deep Learning?"

Car tracking and car counter implemented with YOLOX, ByteTrack and Pytorch.

Cumulative object counting with Tensorflow 2

Heatmap Learner Convolutional Neural Network for Object Counting and Localization

YOLOv8 Aerial Sheep Detection and Counting. Simulated on Gazebo.

video-based object counting software for tallying pretty much anything

Counting number of Objects using Python-OpenCV

University of Glasgow, MSc Project

Region labeling based on Canny features and Bounding-box Intersection over Union (IoU).

This project is an object detection and object counting tool built in Python. It uses computer vision techniques and deep learning models to detect objects in images and videos. The object detection is performed using the YOLO algorithm, and the object counting is done using OpenCV.