MAX-Sports-Video-Classifier
Sports Video Classifier
This project provides a pre-trained video classification model that categorizes sports videos into their respective sports.
Categorize sports videos according to which sport the video depicts.
23 stars
22 watching
18 forks
Language: Python
last commit: almost 4 years agoLinked from 1 awesome list
docker-imagemachine-learningmachine-learning-modelstensorflow
victorshinya/awesome-ibmcloudRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ibm/max-scene-classifier | An image classification model for recognizing physical places and locations | 41 |
| ibm/max-audio-classifier | Identifies sounds in short audio clips using machine learning and PCA transformation | 154 |
| ibm/max-resnet-50 | An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. | 14 |
| ibm/max-inception-resnet-v2 | An image classification model using a third-generation deep residual network. | 27 |
| ibm/max-image-segmenter | An image segmentation system that identifies objects in an image and assigns each pixel to a particular object. | 32 |
| ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
| ibm/max-text-sentiment-classifier | Detects sentiment in short pieces of text using a pre-trained BERT model fine-tuned on the IBM Claims Dataset. | 58 |
 lukereichold/visualactionkit | An iOS framework for classifying human actions in videos using deep learning models | 24 |
| ibm/max-question-answering | An open source question answering system built on top of the BERT model and deployed as a web service in a Docker container. | 33 |
 usmanr149/classification-algorithm | An educational resource providing hands-on examples and exercises for learning classification algorithms using Python. | 2 |
 djcp/linnaeus | A Redis-backed system for classifying documents into categories based on their content. | 38 |
 antoine77340/howto100m | Provides code and tools for learning joint text-video embeddings using the HowTo100M dataset | 254 |
| ibm/max-text-summarizer | Provides a pre-trained text summarization model that can be deployed as a web service in a Docker container | 27 |
 csailvision/places365 | Provides pre-trained deep learning models for scene classification on the Places365 dataset | 1,935 |
 mdhiggins/sickbeard_mp4_automator | Automates video file conversion and metadata tagging to create a uniform media library | 1,536 |