Enterprise computer vision with edge deployment. Object detection, segmentation, OCR, and custom model training.
- Object Detection - Real-time detection and tracking
- Segmentation - Instance and semantic segmentation
- OCR - Document and scene text recognition
- Face Analysis - Detection, recognition, attributes
- Custom Training - Train on your own data
- Edge Deploy - Run on Raspberry Pi to GPU clusters
| Model | Task | Speed | Accuracy |
|---|---|---|---|
| YOLOv8 | Detection | 2ms | 95% |
| SAM | Segmentation | 50ms | 98% |
| PaddleOCR | Text | 15ms | 99% |
| ArcFace | Face | 5ms | 99.5% |
./blackroad-computer-vision-platform.sh init
./blackroad-computer-vision-platform.sh detect \
--model yolov8 \
--input camera:0
./blackroad-computer-vision-platform.sh train \
--dataset my-data/ \
--task detection
# Deploy to Raspberry Pi
./blackroad-computer-vision-platform.sh deploy \
--target pi@192.168.1.100 \
--model optimized-yolo.onnx
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