Explore Projects
Discover 170 open source projects
Showing 41-60 of 170 projects
rafaelpadilla/Object-Detection-Metrics
A Python library that provides the most popular metrics used to evaluate object detection algorithms.
roboflow/sports
A computer vision and sports analytics library for building sports-focused AI applications.
microsoft/VoTT
A TypeScript-based desktop app for building end-to-end object detection models from images and videos.
fundamentalvision/BEVFormer
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
chrieke/awesome-satellite-imagery-datasets
List of satellite image training datasets with annotations for computer vision and deep learning
endernewton/tf-faster-rcnn
A powerful TensorFlow implementation of the Faster R-CNN object detection algorithm.
YunYang1994/tensorflow-yolov3
A TensorFlow library for the YOLOv3 object detection model, enabling vibe coders to build cutting-edge computer vision applications.
SkalskiP/make-sense
An open-source tool for labeling images and training computer vision models using a variety of popular detection models.
aim-uofa/AdelaiDet
AdelaiDet is an open-source toolbox for instance-level detection and recognition tasks, including object detection and text recognition.
open-mmlab/mmyolo
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
catalyst-team/catalyst
Catalyst is an accelerated deep learning R&D library for Python that supports a variety of AI and machine learning use cases.
tianzhi0549/FCOS
A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.
neuralmagic/deepsparse
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
tinyvision/DAMO-YOLO
A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
A PyTorch tutorial for object detection using the Single Shot MultiBox Detector (SSD) algorithm.
lucasjinreal/yolov7_d2
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
tusen-ai/simpledet
A Simple and Versatile Framework for Object Detection and Instance Recognition
Peterande/D-FINE
A library that redefines the regression task of DETRs as a fine-grained distribution refinement problem, with potential applications in object detection.
mit-han-lab/bevfusion
A multi-task multi-sensor fusion library for bird's-eye view perception in 3D computer vision applications.
Cartucho/mAP
A Python library for evaluating the performance of neural networks for object detection.
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