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Photo Quality API field description
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<- - - - - - - - - - - - - - - - - - - - Field - - - - - - - - - - - - - - - - - - - ->DescriptionFormatRange/ValuesPossible values
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img_mapping-
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image nameimage urlStringNA
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q_score-
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image name-
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angleAngle from which the car is seen in the photoInteger0-3450 to 345 with difference of 15 degrees (0 is front, 90 is right and 270 is left side of the car)
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blur_scoreBlurriness of imageInteger1-5No blur (score 1) to High blur (score 5)
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luma_scoreBrightness level of imageInteger1-5low brightness (score 1) to high brightness (score 5)
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parts_detectedNames of the car parts visible in imageList of StringNA['front_bumper', 'back_bumper', 'front_door', 'back_door', 'dicky', 'front_glass', 'back_glass', 'fender', 'qtr_panel', 'hood', 'window_glass', 'taillight', 'spoiler', 'rear_reflector_top', 'rear_reflector_bottom', 'stepney', 'fuel_door', 'running_board', 'roof', 'side_roof', 'sun_roof', 'carrier', 'stair', 'pillar', 'side_view_mirror', 'rubber_addons', 'indicators', 'bumper_grill_top', 'bumper_grill_bottom', 'headlight', 'fog_light', 'wheel', 'wheel_rim', 'license_plate']
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moireimage captured from another device's screenBooleantrue | falseif image is photo of another photo then true
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license_readingvehicle’s unique license plate numberStringLicense plate text
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makebrand or manufacturer of the carString(e.g. Toyota, Ford, BMW)
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modelspecific version or variant of the carString(e.g. Camry, Mustang, X5)
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colorexterior paint color of the vehicleString(e.g. red, black, silver)
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vehicle_typecategory of the car based on its design and functionString(sedan, SUV, hatchback , truck , pickup_truck )
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case_idCase ID String
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custom_section
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dirtBoolean1 | 0The car is dusty or muddy.
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obstacleBoolean1 | 0Something is blocking or in front of the car
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stickerBoolean1 | 0sticker attached to the car's body or windows
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spare_wheelBoolean1 | 0An extra tire, usually on the back or in the trunk
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hood_openBoolean1 | 0front cover (engine area) is open.
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tailgate_openBoolean1 | 0tailgate (trunk) is open
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door_openBoolean1 | 0One or more car doors are not fully closed
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is_carBoolean1 | 0Whether vehicle is present or not
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front_door_windowStringclosed|open|partially openWhether side window is open or closed
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rear_door_windowStringclosed|open|partially openWhether side window is open or closed
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statusString"success"
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Note: If image does not contain car then it will give "NA" in All the q_score field
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