Stars
Core components of Python Spatial Analysis Library
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
This repository contains the classification module of the WorldCereal system.
A family of foundational models tailored for wheat image tasks, producing universal features suitable for image-level tasks (classification, detection, counting) and pixel-level tasks (segmentation…
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
An autonomous mobile robot that uses a distributed control architecture. It uses ROS at the robot control level and an real-time embedded board for hardware control. This repository is a full docum…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
End-to-End Object Detection with Transformers
Label Studio is a multi-type data labeling and annotation tool with standardized output format
PyTorch implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Techniques for deep learning with satellite & aerial imagery
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Aerial image data set for use in plant segmentation research
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Package for vegetation trait retrievals with ARTMO-based GPR models from hyperspectral images.
This repository containts materials for End-to-End AI for Science
The PatchCamelyon (PCam) deep learning classification benchmark.
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
1st place solution for Global Wheat Detection Challenge
Dataset of diseased plant leaf images and corresponding labels
Save multichannel data from xarray datasets as videos to save up massive amounts of space