matin-ghorbani/Video-Classification-Transformers
Implement a video classification using transformers
This tool helps researchers and AI practitioners analyze video content to automatically categorize actions or events. It takes raw video files as input and outputs classifications of the activities happening within them. It's designed for those working with video analytics or developing models for automated video understanding.
No commits in the last 6 months.
Use this if you need to classify actions within short video clips, like identifying specific sports moves or human activities, and want to leverage transformer-based models.
Not ideal if you need to analyze very long videos, perform object detection, or track multiple subjects across complex scenes.
Stars
8
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 21, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/matin-ghorbani/Video-Classification-Transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Kohulan/DECIMER-Image_Transformer
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of...
sovit-123/vision_transformers
Vision Transformers for image classification, image segmentation, and object detection.
fcakyon/video-transformers
Easiest way of fine-tuning HuggingFace video classification models
leaderj1001/BottleneckTransformers
Bottleneck Transformers for Visual Recognition
qubvel/transformers-notebooks
Inference and fine-tuning examples for vision models from 🤗 Transformers