TAPe+ML
Efficient Computer Vision for Detection, Segmentation and Classification
TAPe+ML (TAPe ML) is a proprietary Computer Vision architecture developed by Comexp Research Lab.
It provides object detection, image segmentation and image classification in a compact architecture designed for efficient CPU, Edge and on-premise deployment.
Key Features
- Detection, segmentation and classification in one architecture
- Less than 100K parameters
- Model weight below 100 KB
- Approximately 8 ms per frame on CPU
- CPU and Edge deployment
- Training and adaptation with tens of samples
COCO Benchmark
- mAP50: 84.7%
- mAP50-95: 65.3%
- Segmentation AP50: 80.7%
API Access
TAPe+ML is available through the Comexp API.
Model weights are proprietary and are not publicly distributed.
Test TAPe+ML on your own data and integrate it into your application:
Supported Tasks
- Object Detection
- Image Segmentation
- Image Classification
Deployment
TAPe+ML is designed for efficient inference on CPU and Edge devices without requiring a GPU.
About Comexp Research Lab
Comexp Research Lab develops efficient Computer Vision and AI technologies for Edge, on-premise and cloud deployments.
Website: https://comexp.net/
TAPe+ML Platform: https://ml.comexp.net/