TRY THIS MODEL
Drop image here to test
dachshund-detector/2 (latest)
The training set is empty.
The validation set is empty.
The testing set is empty.
CLASSES
LAYERS
{ "_migration_01_22_backup_datasets": [ "NKqz6N3apvsqGOfE4xKs", "BrcLGSN8tHtwDkk4cWfC", "cadl7RUmcJDwvdYkIHLA" ], "accumulator": null, "annotation_jobs": [ "pLBNVTWIXs9xfeWvRxok/nWcAxL6Wv2afg6LN7ag6" ], "annotations": { "Dogs": { "original": { "annotation": "<annotation>\n\t<folder>Dachshund</folder>\n\t<filename>Dachshund_29.jpg</filename>\n\t<path>C:\\Users\\ericr\\Desktop\\專題標註\\Dachshund\\Dachshund_29.jpg</path>\n\t<source>\n\t\t<database>Unknown</database>\n\t</source>\n\t<size>\n\t\t<width>275</width>\n\t\t<height>183</height>\n\t\t<depth>3</depth>\n\t</size>\n\t<segmented>0</segmented>\n\t<object>\n\t\t<name>Dachshund</name>\n\t\t<pose>Unspecified</pose>\n\t\t<truncated>0</truncated>\n\t\t<difficult>0</difficult>\n\t\t<bndbox>\n\t\t\t<xmin>95</xmin>\n\t\t\t<ymin>61</ymin>\n\t\t\t<xmax>177</xmax>\n\t\t\t<ymax>164</ymax>\n\t\t</bndbox>\n\t</object>\n\t<object>\n\t\t<name>head3</name>\n\t\t<pose>Unspecified</pose>\n\t\t<truncated>0</truncated>\n\t\t<difficult>0</difficult>\n\t\t<bndbox>\n\t\t\t<xmin>104</xmin>\n\t\t\t<ymin>66</ymin>\n\t\t\t<xmax>166</xmax>\n\t\t\t<ymax>110</ymax>\n\t\t</bndbox>\n\t</object>\n\t<object>\n\t\t<name>body</name>\n\t\t<pose>Unspecified</pose>\n\t\t<truncated>0</truncated>\n\t\t<difficult>0</difficult>\n\t\t<bndbox>\n\t\t\t<xmin>103</xmin>\n\t\t\t<ymin>113</ymin>\n\t\t\t<xmax>171</xmax>\n\t\t\t<ymax>162</ymax>\n\t\t</bndbox>\n\t</object>\n</annotation>\n", "format": "xml", "source": "RectLabel" }, "converted": "{\"key\":\"Dachshund_29.jpg\",\"width\":275,\"height\":183,\"boxes\":[{\"label\":\"Dachshund\",\"x\":135,\"y\":111.5,\"width\":82,\"height\":103},{\"label\":\"head3\",\"x\":134,\"y\":87,\"width\":62,\"height\":44},{\"label\":\"body\",\"x\":136,\"y\":136.5,\"width\":68,\"height\":49}]}", "used": true, "key": [ "Dachshund_29.jpg", "Dachshund_29.jpg", "Dachshund_29.jpeg", "Dachshund_29.png", "Dachshund_29.bmp" ] } }, "camera": null, "classes": [ "Dogs" ], "clonedFrom": { "project": "NKqz6N3apvsqGOfE4xKs", "source": "lHd4B0rHJkvtHtZK6Ghw" }, "created": { "_seconds": 1687463038, "_nanoseconds": 734000000 }, "datasets": [ "pLBNVTWIXs9xfeWvRxok" ], "extension": "jpg", "hashes": [ "74523af3c21e4f6b76b33bd77008edd1" ], "height": 183, "id": "vWyn3fb5fjo2RuZlcWW6", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "Dachshund_29.jpg", "owner": "QCy9kJ4rXbUPlHXADmryqd8pYLs2", "projects": [ "pLBNVTWIXs9xfeWvRxok" ], "r": 0.35, "split": "train", "split.BrcLGSN8tHtwDkk4cWfC": "train", "split.cadl7RUmcJDwvdYkIHLA": "train", "split.pLBNVTWIXs9xfeWvRxok": "train", "tags": [ "pLBNVTWIXs9xfeWvRxok:status:annotated" ], "updated": { "_seconds": 1687463038, "_nanoseconds": 734000000 }, "updatedDate": "Jun 22, 2023", "updatedTime": "7:43PM", "updatedTimezone": "+00:00", "uploader": "NRcPVFk0AGPhlawMpOPUXPAfXQx1", "width": 275 }
{ "boxes": [ { "label": "Dachshund", "x": 135, "y": 111.5, "width": 82, "height": 103 }, { "label": "head3", "x": 134, "y": 87, "width": 62, "height": 44 }, { "label": "body", "x": 136, "y": 136.5, "width": 68, "height": 49 } ], "height": 183, "key": "Dachshund_29.jpg", "width": 275 }
Annotation Editor
Smart Polygon