Points on the image

2816

Landmarks on Human Face

{ "reference_id": "001", "data": { "image_url":"https://dummyimage.com/600x400/000/fff.jpg&text=Dummy+Image+1" }, "tag": "Sample-task", "batch_id": "72c888f6-b365-4f27-ad57-d7841da2de0c", "priority_weight": 5 }
{ "data": { "job_id": "3f3e8675-ca69-46d7-aa34-96f90fcbb732", "reference_id": "001", "tag": "Sample-task" }, "success": true }
{ "data": { "project_id": "", "reference_id": "001", "job_id": "fde54589-ebty-48lp-677a-03a0428ca836", "batch_id": "b99d241a-bb80-ghyi-po90-c37d4fead593", "status": "completed", "tag": "sample_project", "priority_weight": 5, "result": "https://playment-data-uploads.s3.ap-south-1.amazonaws.com/sample-result.json" }, "success": true }
{ "data": { "annotations": { "cuboids": [], "landmarks": [{ "_id": "e7e3353f-2ffe-432a-a14f-9cb9a6f4b735", "attributes": { "Label": { "state": "editable", "value": "inside image and occluded by other object" } }, "points": { "p1": { "x": 0.17, "y": 0.58, "label": 1 }, "p2": { "x": 0.26, "y": 0.63, "label": 2 }, "p3": { "x": 0.27, "y": 0.63, "label": 3 }, "p4": { "x": 0.29, "y": 0.59, "label": 4 }, "p5": { "x": 0.25, "y": 0.46, "label": 5 }, "p6": { "x": 0.22, "y": 0.42, "label": 6 } }, "label": "nose" }, { "_id": "cf980562-599f-453c-b717-40a07c20e156", "attributes": { "Label": { "state": "editable", "value": "inside image and occluded by other object" } }, "points": { "p1": { "x": 0.17, "y": 0.58, "label": 7 }, "p2": { "x": 0.26, "y": 0.63, "label": 8 }, "p3": { "x": 0.27, "y": 0.63, "label": 9 }, "p4": { "x": 0.29, "y": 0.59, "label": 10 }, "p5": { "x": 0.25, "y": 0.46, "label": 11 }, "p6": { "x": 0.22, "y": 0.42, "label": 12 } }, "label": "left-ear" }], "lines": [], "polygons": [], "rectangles": [] }, "image_url": "https://playment-data-uploads.s3.ap-south-1.amazonaws.com/clients/d3ad5a3e-b701-4f6b-a1d4-4ec2ae668ddb/projects/13c7d7dc-c79b-45e7-bbfa-1d84bfb41681/batch_upload_data/e595c2f0-141b-4f0b-8642-a9caf5e7698d/Pre-selection/relevant%20frames/20190923-123036_City__00025_F_STEREO_L_2_masked.jpg" } }

Result JSON Structure

Response KeyDescription
dataobject having annotations object and image_url
data.annotationsObject having all the types of annotations namely cuboids, landmarks, lines, polygons and rectangles
data.annotations.landmarksList of all the landmarks annotated in this job
data.annotations.landmarks.[i]one of the Object from landmarks list, having _id, label, points and other attributes
data.annotations.landmarks.[i]._idString id of the particular annotated landmark
data.annotations.landmarks.[i].labelString class label of the particular annotated landmark
data.annotations.landmarks.[i].pointsObject having all the points of the corresponding landmark named as p1, p2, p3.....
data.annotations.landmarks.[i].points.p[j]Object having label and x and y coordinate of a particular point
data.annotations.landmarks.[i].attributesObject having all the additional attributes associated with the particular annotated landmark
data.image_urlString URL of the image over which landmarking was done