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Federal
AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars
National Aeronautics and Space Administration —
This dataset was built for training and validating terrain classification models for Mars, which may be useful in future autonomous rover efforts. It consists of... -
Federal
Python tools for measuring filament defects in embedded 3D printing
National Institute of Standards and Technology —
In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing... -
Federal
Data from: Multi-species fruit flower detection using a refined semantic segmentation network
Department of Agriculture —
This dataset consists of four sets of flower images, from three different species: apple, peach, and pear, and accompanying ground truth images. The images were... -
Federal
Open Fine-Grained Activity Detection Scorer (OpenFAD Scorer)
National Institute of Standards and Technology —
System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation... -
Federal
Code from: Using cameras for precise measurement of two-dimensional plant features
Department of Agriculture —
Images are used frequently in plant phenotyping to capture measurements. This chapter offers a repeatable method for capturing two-dimensional measurements of plant... -
Federal
CameraTrapDetectoR Species Model
Department of Agriculture —
CameraTrapDetectoR is an R package that uses deep learning computer vision models to automatically detect, count, and classify common North American domestic and wild... -
Federal
Data from: Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods
Department of Agriculture —
These datasets were generated for calibrating robot-camera systems. In an extension, we also considered the problem of calibrating robots with more than one camera....