Statistics for topic object-detection
RepositoryStats tracks 518,325 Github repositories, of these 1,048 are tagged with the object-detection topic. The most common primary language for repositories using this topic is Python (693). Other languages include: Jupyter Notebook (138), C++ (72), JavaScript (18), C# (13)
Stargazers over time for topic object-detection
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Trending repositories for topic object-detection (view more)
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel ...
Train InternViT-6B in MMSegmentation and MMDetection with DeepSpeed
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement"
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Train InternViT-6B in MMSegmentation and MMDetection with DeepSpeed
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟
API for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
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. 🔥
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
deep learning for image processing including classification and object-detection etc.
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. 🔥
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)