Research

Roboflow Research

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Aerospace Agriculture and Food Robotics Vehicles Environment Medicine Other Fields

Citations

Roboflow and Research

Roboflow conducts research to help move computer vision forward. In addition, researchers from top institutions around the world advance computer vision with Roboflow.

Roboflow Research

GPT Checkup

This website measures how GPT-4 with Vision performs across a range of experiments.

Roboflow 100

Advancing the state-of-the-art in object recognition with a new way to benchmark computer vision models across domains and task targets. Introduced November 2022, presented at CVPR in June 2023.

Roboflow Logistics Pre-trained Object Detection Model

When benchmarked against a COCO baseline across 4 out of 5 randomly chosen datasets in domains related to construction, logistics and manufacturing, the Roboflow Logistics model scored up to 3.8% higher in mAP50 on the validation set.

Multimodal Comparisons

We compared GPT with four LLMs and a fine-tuned computer vision model to evaluate the strengths and weaknesses of each model and approach.

ImageNet contains naturally occurring NeuralHash collisions

We found 2 distinct image pairs in the wild that have identical NeuralHashes using Apple's NeuralHash algorithm.

Research Citing Roboflow

Below are a selection of research papers that have cited Roboflow.

Aerospace

Real-Time Satellite Component Recognition with YOLO-V5

Trupti Mahendrakar, Ryan T. White, Markus Wilde, Brian Kish, Isaac Silver

Small Satellite Conference

Use of Artificial Intelligence for Feature Recognition and Flightpath Planning Around Non-Cooperative Resident Space Objects

Trupti Mahendrakar, Markus Wild, Ryan White

Aerospace Research Central

Finding Instances of Objects in Aerial Images using Earth Vision Small Scale Dataset

Shankar Naik Rathod Karamtoth

Agriculture and Food

Real-Time Plant Health Detection Using Deep Convolutional Neural Networks

Mahnoor Khalid,Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, and Hafiz Tayyab Rauf

A Real-time Kiwifruit Detection Based on Improved YOLOv7

Yi Xia, Minh Nguyen, Wei Qi Yan

Auckland University of Technology

Fruits Classification and Detection Application Using Deep Learning

Nur-E-Aznin Mimma, Sumon Ahmed, Tahsin Rahman, and Riasat Khan

Robotics

A Comparative Study on Deep Feature Extraction Approaches for Visual Tracking of Industrial Robots

Temitope Ibrahim Amosa, Patrick Sebastian, Lila Iznita Bt Izhar, Oladimeji Ibrahim

Vehicles

Railway Fastener Fault Detection using YOLOv5

Alva Efraimsson, Elin Lemón

Uppsala University

The ironies of autonomy

Maya Indira Ganesh

A novel road maintenance prioritisation system based on computer vision and crowdsourced reporting

Edwin Salcedo, Mona Jaber, and Jesús Requena Carrión

Journal of Sensor and Actuator Networks

Environment

Wildfire detection in aerial images using deep learning

Hoor Ul Ain Tahir, Abdullah Waqar, Shehzad Khalid, Syed Muhammad Usman

Development of a portable toolkit to diagnose coral thermal stress

Zhuolun Meng, Amanda Williams, Pinky Liau, Timothy G. Stephens, Crawford Drury, Eric N. Chiles, Xiaoyang Su, Mehdi Javanmard, Debashish Bhattacharya

Regressing Litter on Deptivation in Glasgow City with Object Detection

Medicine

Automating Sickle Cell Counting Using Object Detection Techniques

Souhoude Ouedraogo, Mamadou Bousso, Abdourahmane Balde, Ousmane Sall, Cheikh Sall, and Mamadou Soumboundou

Classification of Malaria Using Object Detection Models

Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao , Swathi K. S., and Srikanth Prabhu

Other Fields

Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images

Ning Zhang, Francesco Nex, George Vosselman, Norman Kerle

Efficient imaging and computer vision detection of two cell shapes in young cotton fibers

Benjamin P. Graham, Jeremy Park, Grant T. Billings, Amanda M. Hulse‐Kemp, Candace H. Haigler, Edgar Lobaton

Applications in Plant Sciences

Cite Roboflow

If you use Roboflow in your research, we would appreciate your citing Roboflow with the following citation:

Dwyer, B., Nelson, J., Hansen, T., et. al. (2024). Roboflow (Version 1.0) [Software]. Available from https://roboflow.com. computer vision.

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