Detect objects in anime images
Track objects in live stream or uploaded videos
Upload image to detect objects
Detect gestures in images and video
Identify objects in images using text queries
Detect objects in images and get bounding boxes
Detect objects in images using YOLOv5
Detect objects in an image and identify them
Identify objects in an image with bounding boxes
Detect objects in images using Transformers.js
Detect objects in your images
Generic YOLO Models Trained on COCO
Cutting edge open-vocabulary object detection app
Yolov5_anime is an object detection model based on YOLOv5, specialized for detecting objects in anime-style images. It is designed to accurately identify and classify objects within anime scenes, making it a powerful tool for anime-related applications.
• High Accuracy: Optimized for detecting objects in anime images with high precision.
• Customizable: Allows users to fine-tune the model for specific anime object detection tasks.
• Efficiency: Built on the YOLOv5 framework, ensuring fast inference speeds for real-time applications.
• Compatibility: Works seamlessly with Python and supports integration into various applications.
pip install -r requirements.txt.python detect.py --source [input_path] to detect objects in anime images or videos.1. What makes Yolov5_anime suitable for anime images?
Yolov5_anime is fine-tuned on anime-specific datasets, making it highly effective for detecting objects in stylized or animated content.
2. Can Yolov5_anime work on non-anime images?
While Yolov5_anime is optimized for anime, it can still detect objects in non-anime images, though accuracy may vary compared to the original YOLOv5 model.
3. How can I customize Yolov5_anime for my specific use case?
You can fine-tune the model by training it on your own dataset using the provided training scripts. This allows you to tailor the model to your specific object detection needs.