yolo-bdd-inference
Product Prototype 1
Model Yolo
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
Find objects in videos
Detect objects and track body movements in real-time
Efficient Track Anything
Track and label objects in videos
Video captioning/open-vocabulary/zero-shot
Detect objects in live video feeds
Track moving objects in videos or webcam feed
Watch and analyze videos with object detection
Process video to detect and highlight objects
Yolo Bdd Inference is an AI-powered tool designed to track objects in video and analyze images. It leverages the YOLO (You Only Look Once) algorithm to detect objects in real-time. Yolo Bdd Inference is optimized for high accuracy and speed, making it suitable for applications requiring efficient object detection.
• Real-time object detection: Detect objects in videos and images with minimal latency.
• High accuracy: Utilizes advanced deep learning models for precise object recognition.
• Multi-format support: Compatible with various image and video formats.
• Customizable: Allows users to tweak detection parameters for specific use cases.
• Efficient performance: Optimized for running on both CPUs and GPUs.
git clone https://github.com/your-repository/yolo-bdd-inference.git
pip install -r requirements.txt
python detect.py --input your_input.mp4 --output your_output.mp4
What operating systems does Yolo Bdd Inference support?
Yolo Bdd Inference is compatible with Windows, macOS, and Linux.
Can Yolo Bdd Inference detect multiple objects in a single frame?
Yes, Yolo Bdd Inference is capable of detecting multiple objects in a single frame simultaneously.
How can I improve inference speed?
To improve inference speed, consider using a GPU or optimizing the model by reducing the input resolution.