mediapipe/docs/solutions/models.md

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default	Models and Model Cards	Solutions	30

MediaPipe Models and Model Cards

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Face Detection

• Short-range model (best for faces within 2 meters from the camera): TFLite model, TFLite model quantized for EdgeTPU/Coral, Model card
• Full-range model (dense, best for faces within 5 meters from the camera): TFLite model, Model card
• Full-range model (sparse, best for faces within 5 meters from the camera): TFLite model, Model card

Full-range dense and sparse models have the same quality in terms of F-score however differ in underlying metrics. The dense model is slightly better in Recall whereas the sparse model outperforms the dense one in Precision. Speed-wise sparse model is ~30% faster when executing on CPU via XNNPACK whereas on GPU the models demonstrate comparable latencies. Depending on your application, you may prefer one over the other.

Face Mesh

• Face landmark model: TFLite model, TF.js model
• Model card

Iris

• Iris landmark model: TFLite model
• Model card

Hands

• Palm detection model: TFLite model, TF.js model
• Hand landmark model: TFLite model, TFLite model (sparse), TF.js model
• Model card, Model card (sparse)

Pose

• Pose detection model: TFLite model
• Pose landmark model: TFLite model (lite), TFLite model (full), TFLite model (heavy)
• Model card

Holistic

• Hand recrop model: TFLite model

Selfie Segmentation

• TFLite model (general)
• TFLite model (landscape)
• Model card

Hair Segmentation

• TFLite model
• Model card

Object Detection

• TFLite model
• TFLite model quantized for EdgeTPU/Coral
• TensorFlow model
• Model information

Objectron

• TFLite model for shoes
• TFLite model for chairs
• TFLite model for cameras
• TFLite model for cups
• Single-stage TFLite model for shoes
• Single-stage TFLite model for chairs
• Model card

KNIFT

• TFLite model for up to 200 keypoints
• TFLite model for up to 400 keypoints
• TFLite model for up to 1000 keypoints
• Model card