Merge pull request #260628 from PatrickFarley/comvis-updates

[ai svcs] Comvis updates

Author: v-dirichards

articles/ai-services/computer-vision/includes/custom-vision-ia-compare.md

@@ -19,6 +19,7 @@ ms.author: pafarley
 |Web Portal |[Customvision.ai](https://www.customvision.ai/) |[Vision Studio](https://portal.vision.cognitive.azure.com/gallery/featured) |
 |Libraries |REST, SDK |REST, Python Sample |
 |Minimum training data needed |15 images per category |2-5 images per category |
-|Training data storage |Uploaded to service |In customer’s blob storage account |
-|Model hosting |Cloud and Edge |Cloud hosting only, Edge container hosting to come |
-|AI quotient (AIQ) | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>N/A</td><td>N/A</td></tr><tr><td>2 shot</td><td>51.47</td><td>33.3</td></tr><tr><td>3 shot</td><td>56.73</td><td>37.0</td></tr><tr><td>5 shot</td><td>63.01</td><td>43.4</td></tr><tr><td>10 shot</td><td>68.95</td><td>54.0</td></tr><tr><td>full</td><td>85.25</td><td>76.6</td></tr></tbody></table> | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>57.8</td><td>27.1</td></tr><tr><td>2 shot</td><td>73.02</td><td>49.2</td></tr><tr><td>3 shot</td><td>75.51</td><td>61.1</td></tr><tr><td>5 shot</td><td>79.14</td><td>68.2</td></tr><tr><td>10 shot</td><td>81.31</td><td>75.0</td></tr><tr><td>full</td><td>90.98</td><td>85.4</td></tr></tbody></table> |
+|Training data storage |Uploaded to service |Customer’s blob storage account |
+|Model hosting |Cloud and edge |Cloud hosting only, edge container hosting to come |
+|AI quality | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>N/A</td><td>N/A</td></tr><tr><td>2 shot</td><td>51.47</td><td>33.3</td></tr><tr><td>3 shot</td><td>56.73</td><td>37.0</td></tr><tr><td>5 shot</td><td>63.01</td><td>43.4</td></tr><tr><td>10 shot</td><td>68.95</td><td>54.0</td></tr><tr><td>full</td><td>85.25</td><td>76.6</td></tr></tbody></table> | <table ><col ><col ></colgroup><thead><tr><th>context</th><th>IC</br>(top-1 accuracy, 22 datasets)</th><th>OD</br>(mAP@50, 59 datasets)</th></tr></thead><tbody><tr><td>0 shot</td><td>57.8</td><td>27.1</td></tr><tr><td>2 shot</td><td>73.02</td><td>49.2</td></tr><tr><td>3 shot</td><td>75.51</td><td>61.1</td></tr><tr><td>5 shot</td><td>79.14</td><td>68.2</td></tr><tr><td>10 shot</td><td>81.31</td><td>75.0</td></tr><tr><td>full</td><td>90.98</td><td>85.4</td></tr></tbody></table> |
+| Pricing | [Custom Vision pricing](/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](/pricing/details/cognitive-services/computer-vision/) |

articles/ai-services/computer-vision/includes/custom-vision-shelf-compare.md

@@ -14,12 +14,12 @@ ms.author: pafarley
 |Areas | Products on Shelves – Custom Vision |Product Recognition – Image Analysis API/Customization |
 |---|---|---|
 |Features | Custom product understanding |Image stitching & rectification,</br>Pretrained product understanding,</br>Custom product understanding,</br>Planogram matching |  
-|Base model |CNN |Florence |
+|Base model |CNN |Florence transformer model|
 |Labeling |[Customvision.ai](https://www.customvision.ai/) |AML Studio or COCO file |
 |Web Portal |[Customvision.ai](https://www.customvision.ai/) |[Vision Studio](https://portal.vision.cognitive.azure.com/gallery/featured) |
 |Libraries |REST, SDK |REST, Python Sample |
 |Minimum training data needed |15 images per category |2-5 images per category| 
-|Training data storage |Uploaded to service |In customer’s blob storage account |
-|Model hosting |Cloud and Edge |Cloud hosting only, Edge container hosting to come |
-|AI quotient (AIQ)| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>29.4</td></tr><tr><td>2 shot</td><td>57.1</td></tr><tr><td>3 shot</td><td>66.7</td></tr><tr><td>5 shot</td><td>80.8</td></tr><tr><td>10 shot</td><td>86.4</td></tr><tr><td>full</td><td>94.9</td></tr></tbody></table>| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>86.9</td></tr><tr><td>2 shot</td><td>88.8</td></tr><tr><td>3 shot</td><td>89.8</td></tr><tr><td>5 shot</td><td>90.3</td></tr><tr><td>10 shot</td><td>91.0</td></tr><tr><td>full</td><td>95.4</td></tr></tbody></table>|
-
+|Training data storage |Uploaded to service |Customer’s blob storage account |
+|Model hosting |Cloud and edge |Cloud hosting only, edge container hosting to come |
+|AI quality| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>29.4</td></tr><tr><td>2 shot</td><td>57.1</td></tr><tr><td>3 shot</td><td>66.7</td></tr><tr><td>5 shot</td><td>80.8</td></tr><tr><td>10 shot</td><td>86.4</td></tr><tr><td>full</td><td>94.9</td></tr></tbody></table>| <table ><colgroup><col ><col ></colgroup><thead><tr><th>context</th><th>Top-1 accuracy, 14 datasets</th></tr></thead><tbody><tr><td>1 shot (catalog)</td><td>86.9</td></tr><tr><td>2 shot</td><td>88.8</td></tr><tr><td>3 shot</td><td>89.8</td></tr><tr><td>5 shot</td><td>90.3</td></tr><tr><td>10 shot</td><td>91.0</td></tr><tr><td>full</td><td>95.4</td></tr></tbody></table>|
+| Pricing | [Custom Vision pricing](/pricing/details/cognitive-services/custom-vision-service/) | [Image Analysis pricing](/pricing/details/cognitive-services/computer-vision/) |