Der Prompt
{
"meta": {
"source_image": "user_provided_image",
"analysis_timestamp": "2024-07-30T12:00:00Z",
"analysis_model": "image_to_json_v1.0",
"overall_confidence": 0.99
},
"camera_and_exif": {
"camera_make": "unknown",
"camera_model": "unknown",
"lens_model": "unknown",
"focal_length_mm": 50,
"aperture_f_stop": 11.0,
"shutter_speed_s": 0.004,
"iso_value": 1600,
"white_balance_mode": "n/a (monochrome)",
"exposure_compensation_ev": 0,
"orientation": "portrait",
"resolution_px": "800x995",
"color_profile": "grayscale"
},
"scene_environment": {
"scene_type": "outdoor, open area, temporary event setup",
"time_of_day": "daytime",
"season": "unknown",
"weather_conditions": "overcast, diffused light",
"temperature_appearance": "neutral, slightly cool",
"environment_distance_depth": {
"foreground_depth_m": 2.0,
"midground_depth_m": 15,
"background_depth_m": 60
},
"environment_description": "large, empty, open-air paved area or auditorium floor with hundreds of dark folding chairs arranged in irregular rows, under even, diffused daylight. A solitary figure is seated in the foreground, facing the chairs.",
"ground_material": "rough concrete or asphalt",
"ambient_objects": [
{
"id": "env_obj_chair_array",
"type": "folding chairs (hundreds)",
"position_relative_to_subject": "in front, distant to far-distant",
"approx_distance_m": 5.0,
"height_m": 0.8,
"width_m": 0.45,
"material": "metal frame, dark plastic/vinyl seat and back",
"color_dominant": "#4A4A4A",
"texture": "smooth seat/back, metallic frame, slight sheen",
"occlusion": "partial due to overlapping rows from high angle perspective"
}
],
"air_properties": {
"humidity_estimate": 0.6,
"haze_level": 0.15,
"fog_density": 0.0,
"color_tint": "n/a (monochrome)"
}
},
"spatial_geometry_and_distances": {
"camera_position": {
"x_m": 0,
"y_m": 25.0,
"z_m": -8.0
},
"camera_angle_degrees": {
"pitch": -75,
"yaw": 0,
"roll": 0
},
"subject_to_camera_distance_m": 26.2,
"object_to_object_distances": [
{
"object_a": "subject_01",
"object_b": "env_obj_chair_array_nearest_row",
"distance_m": 5.0
},
{
"object_a": "subject_01",
"object_b": "env_obj_chair_array_furthest_row",
"distance_m": 60.0
}
],
"height_reference_scale": {
"known_reference": "person",
"height_m": 1.75,
"pixel_to_meter_ratio": 0.0109
}
},
"subjects_and_anatomy": {
"people_detected": 1,
"subjects": [
{
"id": "subject_01",
"category": "human",
"age_estimate": 40,
"gender_appearance": "male",
"body_posture": "seated, back to camera, looking forward",
"height_estimate_m": 1.75,
"shoulder_width_m": 0.48,
"body_proportions": {
"head_height_ratio": 0.125,
"torso_to_leg_ratio": 0.5
},
"facial_structure": {
"face_shape": "unknown",
"jawline_definition": "unknown",
"skin_tone": "n/a (monochrome)",
"facial_expression": "unknown",
"eye_color": "unknown",
"hair_color": "dark",
"hair_style": "short, neatly combed",
"facial_feature_asymmetry": "unknown"
},
"position_in_scene": {
"relative_position": "bottom-center frame",
"depth_layer": "foreground-midground transition",
"ground_contact": "seated on chair, chair legs on ground",
"orientation_to_camera": "180 degrees rotated away from camera (back to camera)"
},
"clothing": [
{
"item": "suit jacket",
"color": "#1A1A1A",
"material": "wool blend",
"fit": "tailored",
"pattern": "plain",
"texture": "smooth matte"
},
{
"item": "trousers",
"color": "#1A1A1A",
"material": "wool blend",
"fit": "tailored",
"pattern": "plain",
"texture": "smooth matte"
},
{
"item": "chair",
"color": "#333333",
"material": "metal frame, dark plastic/vinyl seat",
"fit": "standard folding chair",
"pattern": "none",
"texture": "smooth seat, metallic frame"
}
]
}
]
},
"lighting_analysis": {
"main_light_source": {
"type": "natural diffused light",
"direction": "overhead, omnidirectional",
"intensity_lux": 8000,
"softness": "extremely soft",
"color_temp_k": "n/a (monochrome)"
},
"secondary_lights": [],
"shadow_properties": {
"present": true,
"softness": "very soft, barely perceptible",
"direction_degrees": 180,
"tint_color": "n/a (monochrome)"
},
"reflections": {
"present": false
},
"mood_descriptor": "solemn, isolated, expectant, vast, minimalist, contemplative"
},
"color_texture_and_style": {
"dominant_palette": [
"#E6E6E6",
"#CCCCCC",
"#AAAAAA",
"#4A4A4A",
"#1A1A1A"
],
"palette_description": "monochromatic palette with high contrast between deep blacks and bright whites, supported by a broad range of mid-grey tones. Overall impression is stark and graphic.",
"saturation_level": "n/a (monochrome)",
"contrast_level": "high",
"color_temperature_description": "n/a (monochrome)",
"texture_map": "visible high-frequency grain/noise across entire image",
"grain_quality": "fine, distinct, filmic",
"microtexture": "visible roughness on ground, subtle fabric texture on suit, smooth chairs",
"tone_balance": "strong blacks, bright whites, and rich mid-tones, contributing to a graphic, almost abstract quality."
},
"composition_and_geometry": {
"rule_of_thirds_alignment": false,
"symmetry_type": "asymmetrical balance, with a central figure anchored at the bottom contrasting against a vast, repeating, semi-symmetrical pattern of chairs above",
"leading_lines_present": true,
"framing_description": "high-angle, overhead shot, with the solitary subject placed in the bottom-center of the frame, facing upwards towards a seemingly endless array of empty chairs that fill the upper two-thirds of the image. The composition emphasizes scale, isolation, and anticipation.",
"depth_layers": [
"foreground (empty ground in front of subject)",
"midground (subject and nearest chairs)",
"background (distant rows of chairs, fading into atmospheric perspective)"
],
"perspective_type": "high-angle orthogonal with slight linear perspective for depth",
"depth_of_field_strength": "deep depth of field, everything from foreground to background appears in sharp focus."
},
"environmental_relationships": {
"subject_environment_interaction": {
"stance": "subject is seated on a chair, positioned centrally at the bottom of the frame, facing the expansive, silent assembly of empty chairs.",
"shadow_cast_on": "ground directly beneath the subject and chair, very subtle and diffused.",
"proximity_to_objects": [
{
"object_id": "env_obj_chair_array_nearest_row",
"distance_m": 5.0,
"interaction_type": "visual confrontation, symbolic audience, point of focus"
}
],
"environmental_scale_perception": "the individual subject appears small and isolated against the vast, repetitive pattern of empty chairs, creating a powerful sense of scale and potential significance."
},
"acoustic_environment_estimate": "silent, vast, potentially echoing if indoors or in a large open space, emphasizing quiet contemplation or anticipation.",
"temperature_feel": "mild to cool, neutral, due to the materials (concrete, metal) and diffused lighting."
},
"output_and_generation_parameters": {
"target_similarity": 0.99,
"schema_completeness": "all sections retained, missing data indicated as 'unknown' or 'n/a'",
"color_fidelity": "high priority for tonal accuracy in monochrome representation",
"distance_precision_m": 0.5,
"pose_accuracy": 0.05,
"facial_geometry_precision": 0.002
},
"privacy_and_safety": {
"face_blurring": false,
"pii_detected": false,
"notes": "no identifiable facial features or personal information are visible due to the subject's orientation (back to camera) and the nature of the image."
}
}
So nutzt du diesen Prompt
Kopiere den Prompt oben oder klicke einen "Öffnen in"-Button um ihn direkt in deiner bevorzugten KI zu starten. Du kannst den Text dann an deinen Anwendungsfall anpassen — z.B. Platzhalter wie [dein Thema] durch echten Kontext ersetzen.
Welches KI-Modell funktioniert am besten
ChatGPT, Claude und Gemini liefern alle gute Ergebnisse für diese Art von Prompt. Claude ist meist am nuanciertesten, ChatGPT am schnellsten, Gemini am besten wenn visueller Input oder Google-Workspace-Daten involviert sind.
Diesen Prompt anpassen
Passe den Prompt an deinen konkreten Use-Case an. Ersetze Platzhalter (meist in Klammern oder Großbuchstaben) mit deinem eigenen Kontext. Je mehr Details du lieferst, desto präziser die Antwort.
Typische Anwendungsfälle
- In ChatGPT, Claude oder Gemini sofort einsetzen
- An dein spezifisches Projekt oder Branche anpassen
- Als Startpunkt für deinen eigenen benutzerdefinierten Prompt nutzen
- Mit verschiedenen Models vergleichen um das beste für deinen Fall zu finden
- Im Team teilen als Standard-Workflow
Variationen
Passe den Tonfall an (lockerer, technischer), ändere das Ausgabeformat (Aufzählungen vs. Absätze) oder füge Einschränkungen hinzu (Wortlimits, Zielgruppe).
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