Image Classification
Classify images on-device into categories using pre-trained computer vision models like EfficientNetV2.
Object Detection
Locate and classify multiple objects in images with bounding boxes using real-time models like SSDLite, YOLO26, and RF-DETR.
Pose & Keypoints
Detect skeletal body keypoints and facial landmarks in real time with bounding boxes using models like YOLO26 Pose and BlazeFace.
Optical Character Recognition (OCR)
Detect and recognize text lines in images using on-device mixed-precision PaddleOCR (PP-OCRv6).
Semantic Segmentation
Perform pixel-level image segmentation into categories like person, background, and Pascal VOC objects using models like DeepLabV3 and Selfie Segmentation.
Instance Segmentation
Detect, classify, and extract pixel-accurate binary masks for individual object instances using models like FastSAM, YOLO26 Seg, and RF-DETR.
Neural Style Transfer
Apply artistic styles like Candy, Mosaic, Rain Princess, and Udnie to photos and camera frames on-device in real time.
Image Embeddings
Generate high-dimensional visual feature vectors from images using multimodal models like OpenAI CLIP for zero-shot classification and search.
Text to Image
Generate high-quality 512x512 images directly on-device from natural language prompts using SDXS (Stable Diffusion eXtreme Speed).
Real-Time Camera Processing
Run real-time on-device computer vision models on live camera feeds using VisionCamera v5 and ExecuTorch synchronous worklets.