OpenMMLab Detection Toolbox and Benchmark
-
Updated
Jun 27, 2024 - Python
OpenMMLab Detection Toolbox and Benchmark
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
We write your reusable computer vision tools. 💜
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.
A simple, fully convolutional model for real-time instance segmentation.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
A Simple and Versatile Framework for Object Detection and Instance Recognition
Unofficial implemention of lanenet model for real time lane detection
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
Images to inference with no labeling (use foundation models to train supervised models).
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval
[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"
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
PANet for Instance Segmentation and Object Detection
Add a description, image, and links to the instance-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the instance-segmentation topic, visit your repo's landing page and select "manage topics."