Add task name to the README for each model (#78)

Author: WanliZhong

README.md

@@ -14,23 +14,23 @@ Guidelines:
 
 ## Models & Benchmark Results
 
-| Model | Input Size | INTEL-CPU (ms) | RPI-CPU (ms) | JETSON-GPU (ms) | KV3-NPU (ms) | D1-CPU (ms) |
-|-------|------------|----------------|--------------|-----------------|--------------|-------------|
-| [YuNet](./models/face_detection_yunet)                | 160x120  | 1.45   | 6.22    | 12.18  | 4.04   | 86.69 |
-| [SFace](./models/face_recognition_sface)              | 112x112  | 8.65   | 99.20   | 24.88  | 46.25  | ---   |
-| [LPD-YuNet](./models/license_plate_detection_yunet/)  | 320x240  | ---    | 168.03  | 56.12  | 154.20\* |       |
-| [DB-IC15](./models/text_detection_db)                 | 640x480  | 142.91 | 2835.91 | 208.41 | ---    | ---   |
-| [DB-TD500](./models/text_detection_db)                | 640x480  | 142.91 | 2841.71 | 210.51 | ---    | ---   |
-| [CRNN-EN](./models/text_recognition_crnn)             | 100x32   | 50.21  | 234.32  | 196.15 | 125.30 | ---   |
-| [CRNN-CN](./models/text_recognition_crnn)             | 100x32   | 73.52  | 322.16  | 239.76 | 166.79 | ---   |
-| [PP-ResNet](./models/image_classification_ppresnet)   | 224x224  | 56.05  | 602.58  | 98.64  | 75.45  | ---   |
-| [MobileNet-V1](./models/image_classification_mobilenet)| 224x224 | 9.04   | 92.25   | 33.18  | 145.66\* | ---   |
-| [MobileNet-V2](./models/image_classification_mobilenet)| 224x224 | 8.86   | 74.03   | 31.92  | 146.31\* | ---   |
-| [PP-HumanSeg](./models/human_segmentation_pphumanseg) | 192x192  | 19.92  | 105.32  | 67.97  | 74.77  | ---   |
-| [WeChatQRCode](./models/qrcode_wechatqrcode)          | 100x100  | 7.04   | 37.68   | ---    | ---    | ---   |
-| [DaSiamRPN](./models/object_tracking_dasiamrpn)       | 1280x720 | 36.15  | 705.48  | 76.82  | ---    | ---   |
-| [YoutuReID](./models/person_reid_youtureid)           | 128x256  | 35.81  | 521.98  | 90.07  | 44.61  | ---   |
-| [MPPalmDet](./models/palm_detection_mediapipe)        | 256x256  | 15.57  | 89.41   | 50.64  | 145.56\* | ---   |
+| Model | Task | Input Size | INTEL-CPU (ms) | RPI-CPU (ms) | JETSON-GPU (ms) | KV3-NPU (ms) | D1-CPU (ms) |
+|-------|------|----------|----------------|--------------|-----------------|----------|-------------|
+| [YuNet](./models/face_detection_yunet)                  | Face Detection                | 160x120  | 1.45   | 6.22    | 12.18  | 4.04     | 86.69 |
+| [SFace](./models/face_recognition_sface)                | Face Recognition              | 112x112  | 8.65   | 99.20   | 24.88  | 46.25    | ---   |
+| [LPD-YuNet](./models/license_plate_detection_yunet/)    | License Plate Detection       | 320x240  | ---    | 168.03  | 56.12  | 154.20\* |       |
+| [DB-IC15](./models/text_detection_db)                   | Text Detection                | 640x480  | 142.91 | 2835.91 | 208.41 | ---      | ---   |
+| [DB-TD500](./models/text_detection_db)                  | Text Detection                | 640x480  | 142.91 | 2841.71 | 210.51 | ---      | ---   |
+| [CRNN-EN](./models/text_recognition_crnn)               | Text Recognition              | 100x32   | 50.21  | 234.32  | 196.15 | 125.30   | ---   |
+| [CRNN-CN](./models/text_recognition_crnn)               | Text Recognition              | 100x32   | 73.52  | 322.16  | 239.76 | 166.79   | ---   |
+| [PP-ResNet](./models/image_classification_ppresnet)     | Image Classification          | 224x224  | 56.05  | 602.58  | 98.64  | 75.45    | ---   |
+| [MobileNet-V1](./models/image_classification_mobilenet) | Image Classification          | 224x224  | 9.04   | 92.25   | 33.18  | 145.66\* | ---   |
+| [MobileNet-V2](./models/image_classification_mobilenet) | Image Classification          | 224x224  | 8.86   | 74.03   | 31.92  | 146.31\* | ---   |
+| [PP-HumanSeg](./models/human_segmentation_pphumanseg)   | Human Segmentation            | 192x192  | 19.92  | 105.32  | 67.97  | 74.77    | ---   |
+| [WeChatQRCode](./models/qrcode_wechatqrcode)            | QR Code Detection and Parsing | 100x100  | 7.04   | 37.68   | ---    | ---      | ---   |
+| [DaSiamRPN](./models/object_tracking_dasiamrpn)         | Object Tracking               | 1280x720 | 36.15  | 705.48  | 76.82  | ---      | ---   |
+| [YoutuReID](./models/person_reid_youtureid)             | Person Re-Identification      | 128x256  | 35.81  | 521.98  | 90.07  | 44.61    | ---   |
+| [MPPalmDet](./models/palm_detection_mediapipe)          | Palm Detection                | 256x256  | 15.57  | 89.41   | 50.64  | 145.56\* | ---   |
 
 \*: Models are quantized in per-channel mode, which run slower than per-tensor quantized models on NPU.