Trending repositories for topic instance-segmentation
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Unofficial implemention of lanenet model for real time lane detection
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
:books: A collection of papers about Referring Image Segmentation.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A simple, fully convolutional model for real-time instance segmentation.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
Images to inference with no labeling (use foundation models to train supervised models).
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
:books: A collection of papers about Referring Image Segmentation.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Unofficial implemention of lanenet model for real time lane detection
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Images to inference with no labeling (use foundation models to train supervised models).
A simple, fully convolutional model for real-time instance segmentation.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
:books: A collection of papers about Referring Image Segmentation.
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Images to inference with no labeling (use foundation models to train supervised models).
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Unofficial implemention of lanenet model for real time lane detection
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
A simple, fully convolutional model for real-time instance segmentation.
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
:books: A collection of papers about Referring Image Segmentation.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
Instance segmentation for cartoon/anime characters and some visual techniques building around it.
Python Computer Vision & Video Analytics Framework With Batteries Included
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
Images to inference with no labeling (use foundation models to train supervised models).
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
Images to inference with no labeling (use foundation models to train supervised models).
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
:books: A collection of papers about Referring Image Segmentation.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
Unofficial implemention of lanenet model for real time lane detection
Python Computer Vision & Video Analytics Framework With Batteries Included
A simple, fully convolutional model for real-time instance segmentation.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
Implementation of Mask-RCNN for detecting and segmenting damaged areas in car images for the purpose of damage assessment.
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method in ...
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
一份关于yolov8的入门级(训练+预测)的代码demo（目标检测/实例分割/关键点检测........）； A code demo about yolov8's entry-level (training + prediction) (object detection/instance segmentation/key point detection...)
[NeurIPS 2024 Spotlight ⭐️] Parameter-Inverted Image Pyramid Networks (PIIP)
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
:books: A collection of papers about Referring Image Segmentation.
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
🛰️ Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2024)
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method in ...
一份关于yolov8的入门级(训练+预测)的代码demo（目标检测/实例分割/关键点检测........）； A code demo about yolov8's entry-level (training + prediction) (object detection/instance segmentation/key point detection...)
The official implementation of paper: "Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning"
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Images to inference with no labeling (use foundation models to train supervised models).
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Python Computer Vision & Video Analytics Framework With Batteries Included
Unofficial implemention of lanenet model for real time lane detection
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
:books: A collection of papers about Referring Image Segmentation.
A simple, fully convolutional model for real-time instance segmentation.
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
[NeurIPS 2024 Spotlight ⭐️] Parameter-Inverted Image Pyramid Networks (PIIP)
Instance segmentation for cartoon/anime characters and some visual techniques building around it.
Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)
Implementation of Mask-RCNN for detecting and segmenting damaged areas in car images for the purpose of damage assessment.
🚀 Use YOLO11 in real-time for object detection tasks, with edge performance ⚡️ powered by ONNX-Runtime.
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
ML backend for the Label Studio tool. The backend uses the YOLOv8 model for instance image segmentation or object detection.
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
[ECCV 2024] VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
An application suite including an open-source inference server and web UI to deploy any YOLOv8 model to NVIDIA Jetson devices and visualize captured streams, with one line of code.
Images to inference with no labeling (use foundation models to train supervised models).
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
