Statistics for topic instance-segmentation
RepositoryStats tracks 518,991 Github repositories, of these 164 are tagged with the instance-segmentation topic. The most common primary language for repositories using this topic is Python (126). Other languages include: Jupyter Notebook (20)
Stargazers over time for topic instance-segmentation
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NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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.
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
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.
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
Instance segmentation for cartoon/anime characters and some visual techniques building around it.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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.
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.
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
