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Created February 19, 2026 20:58
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Gemini 3 Flash agentic vision - Section 5: Counting and Annotation (full output)
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AGENTIC VISION - IMPLICIT PROMPT
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[THINK] **Coin Counting Analysis**
Alright, let's break this down systematically. The objective is clear: count the coins in this image. My initial thought is to go visually, then refine with automated methods. First, I’m identifying all the potential coin candidates – round, metallic objects on the desk and folder.
I see several areas to examine: the folder (top left), the main group on the desk (center and slightly right), and some scattered coins towards the bottom. I initially did a rough count by
[CODE]
import PIL.Image
import PIL.ImageDraw
# Load the image to get dimensions
img = PIL.Image.open('input_file_0.jpeg')
width, height = img.size
# Rough count and locations of coins for initial detection and zoomed view
# Folder coins: 4
# Central-left: 7
# Central-right: 7
# Lower-center: 6
# Lower-right: 4
# Total seems to be around 28. Let's be more precise.
objs = [
{'box_2d': [310, 230, 381, 276], 'label': 'coin'}, # folder coin 1
{'box_2d': [331, 246, 393, 292], 'label': 'coin'}, # folder coin 2
{'box_2d': [378, 175, 455, 230], 'label': 'coin'}, # folder coin 3
{'box_2d': [385, 222, 467, 285], 'label': 'coin'}, # folder coin 4
{'box_2d': [354, 196, 403, 239], 'label': 'coin'}, # folder coin 5? Wait, let's re-check.
# Ah, let's just zoom in.
]
# Better crops for detailed counting
# Top-left folder coins
crop1 = [300, 150, 480, 320]
# Central-left coins
crop2 = [370, 400, 600, 560]
# Central-right coins
crop3 = [390, 560, 610, 800]
# Lower coins
crop4 = [580, 450, 920, 820]
def get_crop(img, box_norm):
ymin, xmin, ymax, xmax = box_norm
left = xmin * width / 1000
top = ymin * height / 1000
right = xmax * width / 1000
bottom = ymax * height / 1000
return img.crop((left, top, right, bottom))
get_crop(img, [250, 150, 500, 350]).save('folder_coins.png')
get_crop(img, [370, 400, 610, 560]).save('desk_left_coins.png')
get_crop(img, [390, 560, 620, 810]).save('desk_right_coins.png')
get_crop(img, [590, 450, 930, 820]).save('desk_lower_coins.png')
[IMAGE] image/png, 569,588 bytes
[IMAGE] image/png, 330,096 bytes
[IMAGE] image/png, 215,248 bytes
[IMAGE] image/png, 217,381 bytes
[THINK] **Coin Counting with Precision**
Alright, let's get down to brass tacks here. I need to establish a precise count of these coins, and I'm going to document my thinking as I go.
First, I'm focusing on the **folder_coins.png** image. I've identified a top copper coin, a silver coin to its right, and a partially hidden coin below the copper one. There's also a silver coin on the left and a large silver coin at the bottom. Initially, I counted five coins, but it is clear I need to be more methodi
[CODE]
# Define all coins by their center coordinates or bounding boxes
# Folder coins (total 5)
# 1. Penny (top): [311, 233, 376, 275]
# 2. Silver coin (right): [336, 248, 395, 290]
# 3. Penny (partially hidden): [365, 203, 417, 245]
# 4. Silver coin (left): [378, 175, 454, 228]
# 5. Large silver coin (bottom): [383, 222, 483, 283]
# Middle left group (total 7)
# 6. Dark coin (top): [380, 427, 416, 459]
# 7. Silver coin (right): [412, 473, 473, 532]
# 8. Penny: [422, 432, 476, 476]
# 9. Penny (tucked): [443, 448, 493, 497]
# 10. Silver coin (right of 9): [468, 480, 533, 541]
# 11. Penny (bottom left): [550, 403, 584, 450]
# 12. Penny (bottom): [520, 447, 592, 493]
# Middle right group (total 9)
# 13. Top-left penny: [405, 591, 444, 624]
# 14. Top-center penny: [398, 626, 432, 663]
# 15. Top-right penny: [412, 680, 449, 715]
# 16. Mid-left penny: [442, 569, 483, 609]
# 17. Mid-center penny: [447, 613, 490, 650]
# 18. Mid-right penny: [455, 743, 498, 785]
# 19. Silver coin: [513, 594, 574, 659]
# 20. Penny (right of silver): [506, 652, 545, 693]
# 21. Penny (bottom): [525, 712, 569, 748]
# Lower group (let's look at desk_lower_coins.png)
# Left lower group:
# 22. Silver coin (top): [600, 517, 646, 560]
# 23. Penny: [642, 464, 690, 513]
# 24. Penny: [644, 508, 692, 553] - looks like a stack of 2? Let's check desk_lower_coins.png
# Wait, let's re-examine desk_lower_coins.png
# 23 and 24 are definitely two coins, one slightly on top of another.
# 25. Penny: [693, 499, 740, 544]
# 26. Penny (under 25): [704, 513, 755, 560] - yes, looks stacked.
# 27. Penny (to the left): [721, 476, 768, 526]
# 28. Penny (bottom): [793, 479, 856, 531]
# 29. Penny (middle): [758, 544, 804, 595]
# Right lower group:
# 30. Silver coin: [652, 686, 706, 737]
# 31. Penny: [692, 731, 742, 781]
# 32. Penny (stacked): [726, 743, 778, 794]
# 33. Penny (under 32): [735, 756, 789, 805] - yes, definitely 2 there.
# 34. Penny (bottom): [792, 718, 843, 769]
# Wait, there's another penny at [820, 576, 866, 622] in lower group.
# 35. Penny: [821, 575, 866, 620]
# Let's count again very carefully.
# Area A (folder): 1, 2, 3, 4, 5 (5 coins)
# Area B (mid-left): 6, 7, 8, 9, 10, 11, 12 (7 coins)
# Area C (mid-right): 13, 14, 15, 16, 17, 18, 19, 20, 21 (9 coins)
# Area D (lower-left): 22 (silver), 23, 24, 25, 26, 27, 28, 29, 35 (9 coins)
# Area E (lower-right): 30 (silver), 31, 32, 33, 34 (5 coins)
# Total: 5 + 7 + 9 + 9 + 5 = 35?
# Let's re-examine area D and E.
# desk_lower_coins.png:
# Silver top left: 1
# Pennies below it: 1 (top-left of group), 2 (stacked top-right), 1 (mid-left), 2 (stacked mid-right), 1 (bottom-left), 1 (bottom-center)
# Wait: Top left of penny group (23), Top right (24+overlap), Mid left (25), Mid right (26+overlap), Bottom left (27), Bottom center (28).
# Actually: 23, 24, 25, 26, 27, 28, 29 (that's 7 pennies) + 1 silver = 8.
# And 35: a penny way below them, at bottom center. (9 coins in Area D)
# Right group: silver (30), penny (31), penny (32), penny (33 - stacked), penny (34 - bottom). That's 5.
# Let's check for any more.
# Total so far: 5+7+9+9+5 = 35.
# Let's re-verify mid-left (Area B).
# 6, 8, 9, 11, 12 are pennies. 7, 10 are silver. Total 7.
# Let's re-verify mid-right (Area C).
# 13, 14, 15 (top 3 pennies), 16, 17, 18 (mid 3 pennies), 19 (silver), 20 (penny right of silver), 21 (penny below silver). Total 9.
# Are there any more?
# Look at the very bottom right: anything else? No.
# Look at the bottom left: anything else? No.
# Look at top right: any coins? No.
# Let me re-count Area D pennies.
# 22: Silver.
# 23: penny (single)
# 24: penny (below 23)
# 25: penny (left of 24)
# 26: penny (below 25)
# 27: penny (below 26)
# 28: penny (right of 26)
# 29: penny (below 28)
# wait, this is confusing. Let me just dot them.
import PIL.ImageDraw
img_with_dots = img.copy()
draw = PIL.ImageDraw.Draw(img_with_dots)
coins = [
(340, 250), (360, 270), (390, 220), (410, 200), (430, 250), # folder - wait, I said 5, let's re-look.
]
# I will just use detection to count.
[THINK] **Final Coin Count: 36**
Alright, let's nail this down. First, the plan: I'm going to methodically go through each section, verify the count, and double-check everything until I'm absolutely certain. The coordinates given seem accurate enough to start, but I'll trust my eyes more than the numbers in the end. Let's begin.
**Folder Coins (A):** Okay, starting with the folder. Looking at that image... yep, I see the top penny, nickel to its right, nickel left of penny. There's also that partially
[ANSWER] Based on a careful examination of the image, there are a total of 36 coins scattered across the desk and on the black folder. Here is the breakdown of the count by area:
1. **On the black folder (top left):** 5 coins
* 1 large silver coin (likely a quarter) at the bottom of the group.
* 1 silver coin to its left.
* 1 copper coin (penny) at the top.
* 1 silver coin to the right of the top penny.
* 1 copper coin partially tucked under the others.
2. **Middle-left of the desk:** 7 coins
* 2 silver coins (likely nickels).
* 5 copper coins (pennies) of various shades.
3. **Middle-right of the desk:** 9 coins
* 1 silver coin (likely a nickel).
* 8 copper coins (pennies) arranged in a loose group.
4. **Lower-left area of the desk:** 9 coins
* 1 silver coin (likely a nickel) at the top of this group.
* 8 copper coins (pennies), including some that are stacked or overlapping, and two that are further out to the left and bottom.
5. **Lower-right area of the desk:** 6 coins
* 1 silver coin (likely a nickel) at the top.
* 5 copper coins (pennies), including a stack of two and one way out at the bottom right.
In total, there are **36** coins in the image.
Saving implicit images...
Saved: section5_implicit_1.png
Saved: section5_implicit_2.png
Saved: section5_implicit_3.png
Saved: section5_implicit_4.png
============================================================
AGENTIC VISION - EXPLICIT PROMPT
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[THINK] **Coin Counting Protocol: A Deep Dive**
Alright, let's break this down. My objective is crystal clear: accurately count every coin in this image. No room for error. The process begins with a systematic identification of each coin, followed by bounding box creation and numbering for clarity. The ultimate goal is an exact numerical count.
First, I surveyed the scene and noticed several distinct clusters of coins. I've categorized them based on their location: a group on the black folder, and sev
[CODE]
import PIL.Image
import PIL.ImageDraw
# Load the image to get dimensions
img = PIL.Image.open('input_file_0.jpeg')
width, height = img.size
# Define groups of coins for zooming
# Group A: Folder [300, 150, 480, 320]
# Group B: Middle Top [380, 400, 600, 560]
# Group C: Middle Right [380, 560, 620, 800]
# Group D: Middle Bottom [580, 450, 920, 640]
# Group E: Bottom Right [650, 680, 920, 820]
crops = [
[300, 150, 480, 320], # Group A
[380, 400, 600, 560], # Group B
[380, 560, 620, 800], # Group C
[580, 450, 920, 650], # Group D
[650, 680, 920, 850] # Group E
]
# Create crops
for i, crop in enumerate(crops):
ymin, xmin, ymax, xmax = crop
left = xmin * width / 1000
top = ymin * height / 1000
right = xmax * width / 1000
bottom = ymax * height / 1000
img_crop = img.crop((left, top, right, bottom))
img_crop.save(f'crop_{i}.jpeg')
# Output will show the coins clearly for final counting.
[IMAGE] image/jpeg, 19,905 bytes
[IMAGE] image/jpeg, 37,057 bytes
[IMAGE] image/jpeg, 37,679 bytes
[IMAGE] image/jpeg, 24,088 bytes
[IMAGE] image/jpeg, 17,205 bytes
[THINK] **Coin Analysis: A Detailed and Iterative Process**
Alright, let's dive into this coin analysis. My immediate focus is on meticulousness, ensuring no coin is overlooked, especially those pesky overlaps or partially hidden ones. This requires a systematic approach.
I'm starting by dissecting each "crop" (area), one at a time. I will be meticulous, taking note of each coin's position and type (copper or silver). The first look will be a quick count, then a re-examination, and then a re-count!
[ANSWER] To identify and count every coin in the image, I have carefully examined all areas, including clusters where coins are overlapping or partially hidden.
Here is the breakdown by groups:
1. **Group A (On the black folder/notebook):** There are 5 coins here. This includes one copper penny at the top right, one small silver coin to its left, and three larger silver coins (one on the far left, one in the center, and one at the bottom).
2. **Group B (Middle top on the desk):** This cluster contains 7 coins. There is a top copper coin, a silver coin to its right, two overlapping copper coins below them, a silver coin further right, and two more copper coins to the left and bottom.
3. **Group C (Middle center on the desk):** This is the largest group, containing 10 copper and silver coins. They are roughly arranged in three rows: three in the top row, four in the middle row, and three in the bottom row (including one silver coin).
4. **Group D (Middle bottom on the desk):** There are 7 coins in this group. It starts with a silver coin at the top, followed by two copper coins side-by-side, then three more copper coins trailing downwards, and one final copper coin to the right.
5. **Group E (Bottom right on the desk):** This group contains 5 coins. It includes one silver coin at the top, one copper coin below it, a small stack of two overlapping copper coins further down, and one final copper coin at the far bottom right.
**Final Count:** 34 coins in total.
```json
[
{"box_2d": [387, 175, 451, 236], "label": "1"},
{"box_2d": [356, 196, 407, 248], "label": "2"},
{"box_2d": [319, 231, 375, 274], "label": "3"},
{"box_2d": [334, 251, 388, 292], "label": "4"},
{"box_2d": [385, 224, 462, 283], "label": "5"},
{"box_2d": [384, 428, 436, 473], "label": "6"},
{"box_2d": [413, 494, 473, 545], "label": "7"},
{"box_2d": [433, 435, 485, 483], "label": "8"},
{"box_2d": [448, 455, 496, 501], "label": "9"},
{"box_2d": [478, 471, 547, 518], "label": "10"},
{"box_2d": [493, 436, 556, 483], "label": "11"},
{"box_2d": [537, 408, 597, 451], "label": "12"},
{"box_2d": [399, 630, 453, 675], "label": "13"},
{"box_2d": [419, 591, 474, 637], "label": "14"},
{"box_2d": [422, 679, 476, 723], "label": "15"},
{"box_2d": [470, 569, 528, 614], "label": "16"},
{"box_2d": [471, 613, 529, 659], "label": "17"},
{"box_2d": [479, 678, 536, 724], "label": "18"},
{"box_2d": [478, 742, 532, 790], "label": "19"},
{"box_2d": [541, 605, 598, 651], "label": "20"},
{"box_2d": [524, 650, 578, 699], "label": "21"},
{"box_2d": [515, 715, 573, 761], "label": "22"},
{"box_2d": [598, 520, 663, 573], "label": "23"},
{"box_2d": [666, 463, 727, 511], "label": "24"},
{"box_2d": [666, 509, 728, 558], "label": "25"},
{"box_2d": [733, 496, 796, 546], "label": "26"},
{"box_2d": [769, 521, 830, 573], "label": "27"},
{"box_2d": [841, 503, 907, 555], "label": "28"},
{"box_2d": [806, 577, 873, 627], "label": "29"},
{"box_2d": [661, 688, 728, 741], "label": "30"},
{"box_2d": [702, 731, 764, 781], "label": "31"},
{"box_2d": [753, 745, 822, 802], "label": "32"},
{"box_2d": [775, 748, 822, 794], "label": "33"},
{"box_2d": [839, 720, 904, 772], "label": "34"}
]
```
Saving explicit images...
Saved: section5_annotated_1.jpg
Saved: section5_annotated_2.jpg
Saved: section5_annotated_3.jpg
Saved: section5_annotated_4.jpg
Saved: section5_annotated_5.jpg
Done!
============================================================
AGENTIC VISION - EXPLICIT PROMPT (v2)
============================================================
[THINK] **Coin Counting Algorithm - Final Thoughts**
Okay, the task is clear: I need to identify and count all the coins in the image. I'll need to develop a systematic approach to ensure I don't miss any.
First, I need to define the method: I'm looking for distinct, round, metallic objects. I'll need to define the shape and size I'm expecting. The image has coins spread across different surfaces: a black folder and a tabletop. I need to develop some logic to identify each coin, estimate its location,
[CODE]
import PIL.Image
import PIL.ImageDraw
# Load the image to get its dimensions
img = PIL.Image.open('input_file_0.jpeg')
width, height = img.size
# List of coins with bounding boxes [ymin, xmin, ymax, xmax] in normalized coordinates (0-1000)
# This is a refined list based on visual inspection.
coins = [
# Folder cluster (5 coins)
[383, 175, 452, 227], [352, 196, 411, 255], [318, 230, 375, 274], [383, 223, 461, 284], [333, 246, 388, 292],
# Middle left cluster (7 coins)
[381, 429, 436, 474], [431, 437, 487, 483], [447, 453, 502, 501], [414, 495, 475, 545], [536, 410, 594, 452], [491, 440, 555, 486], [478, 474, 548, 518],
# Middle right cluster (10 coins)
[416, 590, 473, 638], [398, 629, 452, 675], [422, 681, 477, 725], [471, 568, 528, 616], [471, 613, 527, 659], [477, 677, 533, 723], [474, 742, 533, 789], [539, 604, 597, 651], [519, 651, 577, 699], [512, 715, 572, 761],
# Bottom area (12 coins)
[597, 520, 665, 574], [665, 464, 728, 514], [665, 508, 731, 560], [731, 498, 796, 549], [766, 521, 829, 573], [839, 501, 908, 554], [805, 576, 873, 626], [661, 688, 729, 742], [700, 730, 766, 783], [746, 746, 814, 795], [758, 751, 826, 804], [838, 719, 904, 771]
]
# Draw boxes and numbers
draw = PIL.ImageDraw.Draw(img)
for i, coin in enumerate(coins):
ymin, xmin, ymax, xmax = coin
left, top, right, bottom = xmin * width / 1000, ymin * height / 1000, xmax * width / 1000, ymax * height / 1000
draw.rectangle([left, top, right, bottom], outline='red', width=3)
draw.text((left, top), str(i + 1), fill='red')
# Save the annotated image
img.save('transformed_image_1.png')
print(f"Total coins detected: {len(coins)}")
[RESULT] (Outcome.OUTCOME_OK)
Total coins detected: 34
[IMAGE] image/png, 3,685,043 bytes
[ANSWER]
In the image, I have identified and counted a total of 34 coins. These are distributed as follows:
- 5 coins on the black folder in the top-left area.
- 7 coins in the cluster to the middle-left of the image.
- 10 coins in the large cluster in the middle-right area.
- 12 coins in the bottom central and bottom right areas, including some that are partially overlapping or stacked.
Final count: 34 coins.
Saving explicit images...
Saved: section5_annotated_1.png
Done!
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