The training set is empty.
The validation set is empty.
The testing set is empty.
CLASSES
LAYERS
{ "accumulator": null, "annotation_jobs": [ "zXNsO7APlmyvOPvRFgyY/2tkpHVwn8hlBNuCD8OPO", "fbf0FiMLhKBpOqdGLCuk/FLB7gxhgWr8a3cnTyODl" ], "annotations": { "box": { "original": { "annotation": "<annotation>\n\t<folder>my-project-name</folder>\n\t<filename>laptop_.jpg</filename>\n\t<path>/my-project-name/laptop_.jpg</path>\n\t<source>\n\t\t<database>Unspecified</database>\n\t</source>\n\t<size>\n\t\t<width>1000</width>\n\t\t<height>1500</height>\n\t\t<depth>3</depth>\n\t</size>\n\t<object>\n\t\t<name>Laptop</name>\n\t\t<pose>Unspecified</pose>\n\t\t<truncated>Unspecified</truncated>\n\t\t<difficult>Unspecified</difficult>\n\t\t<bndbox>\n\t\t\t<xmin>196</xmin>\n\t\t\t<ymin>817</ymin>\n\t\t\t<xmax>712</xmax>\n\t\t\t<ymax>1267</ymax>\n\t\t</bndbox>\n\t</object>\n</annotation>", "format": "xml", "source": "RectLabel" }, "converted": "{\"key\":\"laptop_.jpg\",\"width\":1000,\"height\":1500,\"boxes\":[{\"label\":\"Laptop\",\"x\":453,\"y\":1041,\"width\":516,\"height\":450}]}", "used": true, "key": [ "laptop_.jpg", "laptop_.jpg", "laptop_.jpeg", "laptop_.png", "laptop_.bmp" ] }, "detect": { "original": { "annotation": "<annotation>\n\t<folder>my-project-name</folder>\n\t<filename>laptop_.jpg</filename>\n\t<path>/my-project-name/laptop_.jpg</path>\n\t<source>\n\t\t<database>Unspecified</database>\n\t</source>\n\t<size>\n\t\t<width>1000</width>\n\t\t<height>1500</height>\n\t\t<depth>3</depth>\n\t</size>\n\t<object>\n\t\t<name>Laptop</name>\n\t\t<pose>Unspecified</pose>\n\t\t<truncated>Unspecified</truncated>\n\t\t<difficult>Unspecified</difficult>\n\t\t<bndbox>\n\t\t\t<xmin>196</xmin>\n\t\t\t<ymin>817</ymin>\n\t\t\t<xmax>712</xmax>\n\t\t\t<ymax>1267</ymax>\n\t\t</bndbox>\n\t</object>\n</annotation>", "format": "xml", "source": "RectLabel" }, "converted": "{\"key\":\"laptop_.jpg\",\"width\":1000,\"height\":1500,\"boxes\":[{\"label\":\"Laptop\",\"x\":453,\"y\":1041,\"width\":516,\"height\":450}]}", "used": true, "key": [ "laptop_.jpg", "laptop_.jpg", "laptop_.jpeg", "laptop_.png", "laptop_.bmp" ] } }, "camera": null, "classes": [ "box", "detect" ], "created": { "_seconds": 1657579947, "_nanoseconds": 70000000 }, "datasets": [ "zXNsO7APlmyvOPvRFgyY", "fbf0FiMLhKBpOqdGLCuk" ], "extension": "jpg", "hashes": [ "e755f61d06fa4183292d2e833d7c94f6" ], "height": 1500, "id": "B6JUW8YbQFWA2M6bf5Mt", "label": [ "Unlabeled" ], "metadata": { "no": "metadata" }, "name": "laptop_.jpg", "owner": "erKp01vy7nTGLBRU9m51GYHYG783", "projects": [ "zXNsO7APlmyvOPvRFgyY", "fbf0FiMLhKBpOqdGLCuk" ], "r": 0.9851190476190477, "split": "train", "split.fbf0FiMLhKBpOqdGLCuk": "train", "split.zXNsO7APlmyvOPvRFgyY": "train", "tags": [ "zXNsO7APlmyvOPvRFgyY:status:approved", "fbf0FiMLhKBpOqdGLCuk:status:approved" ], "updated": { "_seconds": 1657611411, "_nanoseconds": 409000000 }, "updatedDate": "Jul 12, 2022", "updatedTime": "7:36AM", "updatedTimezone": "+00:00", "uploader": "erKp01vy7nTGLBRU9m51GYHYG783", "width": 1000 }
{ "boxes": [ { "label": "Laptop", "x": 453, "y": 1041, "width": 516, "height": 450 } ], "height": 1500, "key": "laptop_.jpg", "width": 1000 }
Annotation Editor
Smart Polygon