AddaxAI
AddaxAI: A no-code platform to train and deploy custom YOLOv5 object detection models - Published in JOSS (2023)
OfflineMOT
OfflineMOT: A Python package for multiple objects detection and tracking from bird view stationary drone videos - Published in JOSS (2022)
Logodetect
Logodetect: One-shot detection of logos in image and video data - Published in JOSS (2022)
sahi
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
OmniTrax
OmniTrax: A deep learning-driven multi-animal tracking and pose-estimation add-on for Blender - Published in JOSS (2024)
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
rf-detr
RF-DETR is a real-time object detection model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning.
inference
Turn any computer or edge device into a command center for your computer vision projects.
catalyst
Accelerated deep learning R&D
rastervision
An open source library and framework for deep learning on satellite and aerial imagery.
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
https://github.com/cheind/py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
mxnet.sharp
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
geo-trax
🚀 Geo-trax is a comprehensive pipeline for extracting and analyzing high-accuracy georeferenced vehicle trajectories from quasi-stationary, bird’s-eye view drone footage. Using advanced computer vision and deep learning, it enables detailed urban traffic analysis and supports scalable, precise studies of vehicle dynamics.
sc2-benchmark
[TMLR] "SC2 Benchmark: Supervised Compression for Split Computing"
pylocron
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
cvat
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.
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
vitdet
Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"
rf100-vl
Code from the paper "Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models"
https://github.com/aim-uofa/adelaidet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
rasberry_perception
General purpose ROS package for using deep learning/object detection frameworks on robots
skellytracker
A pose estimation and object detection/tracking backend for freemocap.
https://github.com/albumentations-team/albumentationsx
Next-generation Albumentations: dual-licensed for open-source and commercial use
hugsvision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
targetran
Python library for data augmentation in object detection or image classification model training
cppe5
Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
seglight
Super fast and real-time semantic segmentation (cpu only) can be use for 1 core cpu
lrv-instruction
[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
kso
Notebooks to upload/download marine footage, connect to a citizen science project, train machine learning models and publish marine biological observations.
mish
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
orca
ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.
peoplesanspeople
Unity's privacy-preserving human-centric synthetic data generator
promptdet
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
detect-waste
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
catnet
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)
quickai
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
https://github.com/rybakov-ks/particleanalyzer
A Computer Vision-based tool for automatic segmentation and size analysis of particles in Scanning Electron Microscope (SEM) images.
https://github.com/brainglobe/cellfinder-napari
Efficient cell detection in large images using cellfinder in napari
https://github.com/amazon-science/bigdetection
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
https://github.com/bencardoen/specht.jl
SPECHT is a Julia implementation of a contrastive weakly supervised object detection and identification method for fluorescence microscopy.
https://github.com/alan-turing-institute/grace
Graph Representation Analysis for Connected Embeddings
https://github.com/braun-steven/dafne
Code for our paper "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection".
https://github.com/ammarlodhi255/crack-informed-yolov9-for-multi-locale-bone-fracture-detection
This repository contains the implementation code of the paper "Small Data, Big Impact: A Multi-Locale Bone Fracture Detection on an Extremely Limited Dataset Via Crack-Informed YOLOv9 Variants"
https://github.com/broadinstitute/keras-rcnn
Keras package for region-based convolutional neural networks (RCNNs)
https://github.com/autodistill/autodistill-owlv2
OWLv2 base model for use with Autodistill.
pyro-vision
Computer vision library for wildfire detection 🌲 Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)
https://github.com/autodistill/autodistill-transformers
Use object detection models in Hugging Face Transformers to automatically label data to train a fine-tuned model.
Photovoltaic_Fault_Detector
Model Photovoltaic Fault Detector based in model detector YOLOv.3, this repository contains four detector model with their weights and the explanation of how to use these models.
https://github.com/bencevans/megadetector-contained
Docker image for running the MegaDetector v4 camera-trap object detection model.
https://github.com/nsembleai/nsvision
nsvision is the image data pre and post processing and data augmentation library. It provides utilities for working with image data.
sarlvision
A reinforcement learning object detector leveraging saliency ranking, offering a self-explainable system with a fully observable action log. | B.Sc. IT (Hons) Artificial Intelligence Dissertation | UOM Dean's List Awards 2024
boosting-r-cnn
[Neurocomputing 2023] The official implementation of Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection
luderick-seagrass
This dataset comprises of annotated footage of Girella tricuspidata in two estuary systems in South East Queensland, Australia. This data is suitable for a range of classification and object detection research in unconstrained underwater environments.
https://github.com/ai-forever/aggme
Aggregation framework for annotating datasets in computer vision tasks (detection, segmentation, video captioning etc.)
https://github.com/acai66/yolov5_rotation
rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.
cbsp25
Enhancing Accessibility Options in Resident Evil 4 using Object Detection
https://github.com/alphonsg/epic-bbox-cell-tracking
Harness deep learning and bounding boxes to perform object detection, segmentation, tracking and more.
https://github.com/amirzenoozi/yolo-tf2-object-detection
Object Detection on Image and Video Based on YOLO Model
https://github.com/araffin/pytorch-yolo2
Object Detection using YOLOv2 and PyTorch. Working webcam demo.
https://github.com/arbit3rr/jetsonyolo
Simple process for camera installation, software and hardware setup, and object detection using Yolov5 and openCV on NVIDIA Jetson Nano.
https://github.com/autodistill/autodistill-codet
CoDet base model for use with Autodistill.
https://github.com/autodistill/autodistill-florence-2
Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
https://github.com/cedrickchee/realtime-detectron
Real-time Detectron using webcam.
marine-detect
Object detection models for identifying species in marine environments.
vayuai
Vayuvahana Technologies Private Limited presents to you VajraV1, a state-of-the-art (SOTA) real time object detection model
strip-r-cnn
Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection"
https://github.com/bethgelab/siamese-mask-rcnn
Siamese Mask R-CNN model for one-shot instance segmentation
detrex
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
agml
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
detection_inference
A high-performance, multi-threaded C++ pipeline for real-time multi-camera object detection using YOLOv8.
insect-detect-ml
Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.
visitorcount
Visitor Count on kevyt kamerakuvan tunnistukseen perustuva kävijälaskuri esimerkiksi turistikohteille