Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report
Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report is a verified PROMPT blueprint on Promptally in Personas, Teachers & Roleplay optimized for leading AI models. High-performance Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report prompt blueprint. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (Personas, Teachers & Roleplay) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 2,177 |
| Source file | prompt-prompt-to-turn-chatgpt-into-an-comprehensive-image-analysis-report.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
{
"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."
}
}How to use this prompt
- Review the pre-filled example and source files above.
- Copy the template or download
prompt-prompt-to-turn-chatgpt-into-an-comprehensive-image-analysis-report.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report?
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Is Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report free?
Yes. Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report need?
Prompt to Turn ChatGPT into an Comprehensive Image Analysis Report is a static blueprint with no dynamic variables. Copy it and use it as-is.