Search is not available for this dataset
image
imagewidth (px) 224
224
| L
float32 1.5
6.5
| Fx
float32 -182.48
188
| Fy
float32 -1,500
-300
| xP
float32 0.15
5.85
| Fy2
float32 -800
800
| xQ
float32 0.04
4.97
| Ax
float32 -188.28
182
| Ay
float32 -658.16
1.84k
| By
float32 -636.14
1.35k
| overloaded
class label 1
class |
|---|---|---|---|---|---|---|---|---|---|---|
1.5
| 143.439163
| -1,500
| 0.15
| 0
| 0.658318
| -143.439163
| 1,350
| 150
| 0safe
|
|
1.5
| -162.329056
| -1,500
| 1.35
| 800
| 1.046052
| 162.329056
| -92.105576
| 792.105591
| 0safe
|
|
1.5
| 114.42572
| -900
| 0.15
| -800
| 1.14171
| -114.42572
| 1,001.088257
| 698.911743
| 0safe
|
|
1.5
| -19.845625
| -900
| 1.35
| 800
| 0.19217
| 19.845625
| -607.509094
| 707.509094
| 0safe
|
|
1.5
| 57.546047
| -300
| 0.15
| -800
| 1.390147
| -57.546047
| 328.588013
| 771.411987
| 0safe
|
|
1.5
| -22.634321
| -300
| 1.35
| -800
| 1.234142
| 22.634321
| 171.79071
| 928.20929
| 0safe
|
|
2.75
| -174.473099
| -1,500
| 0.275
| -800
| 1.525108
| 174.473099
| 1,706.332153
| 593.667847
| 0safe
|
|
2.75
| 52.66576
| -1,500
| 2.475
| 0
| 2.275986
| -52.66576
| 150
| 1,350
| 0safe
|
|
2.75
| 188.279205
| -900
| 0.275
| 0
| 0.974946
| -188.279205
| 810
| 90
| 0safe
|
|
2.75
| 111.353401
| -900
| 2.475
| 800
| 2.456083
| -111.353401
| 4.496897
| 95.503105
| 0safe
|
|
2.75
| -182.4785
| -300
| 0.275
| 800
| 1.283483
| 182.4785
| -156.623199
| -343.376801
| 0safe
|
|
2.75
| 73.219582
| -300
| 2.475
| 0
| 0.424296
| -73.219582
| 30
| 270
| 0safe
|
|
4
| -69.669853
| -1,500
| 0.4
| 800
| 3.870039
| 69.669853
| 1,324.007813
| -624.007813
| 0safe
|
|
4
| -12.177675
| -1,500
| 3.6
| 800
| 1.481839
| 12.177675
| -353.632233
| 1,053.632202
| 0safe
|
|
4
| -9.71803
| -900
| 0.4
| 800
| 0.519686
| 9.71803
| 113.937202
| -13.937204
| 0safe
|
|
4
| 67.925598
| -900
| 3.6
| 0
| 0.907637
| -67.925598
| 90
| 810
| 0safe
|
|
4
| 80.106041
| -300
| 0.4
| 800
| 3.330713
| -80.106041
| 136.142563
| -636.142578
| 0safe
|
|
4
| 132.903915
| -300
| 3.6
| -800
| 1.249467
| -132.903915
| 580.106689
| 519.893311
| 0safe
|
|
5.25
| -84.668762
| -1,500
| 0.525
| -800
| 2.034261
| 84.668762
| 1,840.017334
| 459.982697
| 0safe
|
|
5.25
| -144.098999
| -1,500
| 4.725
| 800
| 3.583102
| 144.098999
| -104.003593
| 804.003601
| 0safe
|
|
5.25
| 114.769753
| -900
| 0.525
| 800
| 0.038652
| -114.769753
| 15.889815
| 84.110184
| 0safe
|
|
5.25
| 82.066154
| -900
| 4.725
| 0
| 3.490467
| -82.066154
| 90
| 810
| 0safe
|
|
5.25
| 27.496479
| -300
| 0.525
| 0
| 2.409308
| -27.496479
| 270
| 30
| 0safe
|
|
5.25
| -154.187973
| -300
| 4.725
| 800
| 0.733934
| 154.187973
| -658.162415
| 158.162399
| 0safe
|
|
6.5
| 26.094442
| -1,500
| 0.65
| -800
| 3.062125
| -26.094442
| 1,773.123047
| 526.876953
| 0safe
|
|
6.5
| 53.887329
| -1,500
| 5.85
| 800
| 4.972493
| -53.887329
| -38.000916
| 738.000916
| 0safe
|
|
6.5
| -78.41996
| -900
| 0.65
| -800
| 3.634846
| 78.41996
| 1,162.634277
| 537.365723
| 0safe
|
|
6.5
| -25.313044
| -900
| 5.85
| -800
| 0.200316
| 25.313044
| 865.345703
| 834.654297
| 0safe
|
|
6.5
| 141.361237
| -300
| 0.65
| 800
| 2.655436
| -141.361237
| -203.177078
| -296.822906
| 0safe
|
|
6.5
| -176.678909
| -300
| 5.85
| 0
| 1.520607
| 176.678909
| 30
| 270
| 0safe
|
Beam Image HW1
Dataset Summary
beam_image_hw1 contains free-body diagram style images of simply supported beams with applied point loads.
Each image is paired with features (beam span, load magnitude, positions) and a binary target: safe vs overloaded.
- Original split: 30 images (224×224 PNG) generated from parameterized cases
- Augmented split: 300+ images created via label-preserving transformations (rotation, brightness shift, noise, mirroring)
Purpose
This dataset is designed for introductory computer vision tasks in an engineering context.
Models can experiment with classifying safe vs overloaded beam cases based on diagram inputs.
Composition & Collection
Features:
image(PNG, 224×224): beam free-body diagramL(float32): beam span length (m)Fx,Fy,Fy2(float32): applied loads (N)xP,xQ(float32): load positions (m)Ax,Ay,By(float32): support reactions (N)overloaded(class): safe (0), overloaded (1)
Original images: generated programmatically via a Python renderer
Augmented images: expanded with simple transformations
Preprocessing & Augmentation
- Original diagrams resized to 224×224 pixels
- Augmentation methods:
- Random flips and rotations (±10°)
- Brightness/contrast shifts
- Gaussian noise injection
- Labels preserved because augmentations do not affect statics
Splits
original: 30 rowsaugmented: 300+ rows
Intended Use / Limits
- Educational only
- Not suitable for real engineering decision-making
Ethical Notes
- Fully synthetic diagrams, no sensitive content
- No copyrighted imagery used
License
MIT License
AI Tool Disclosure
ChatGPT (OpenAI, GPT-5) was used for:
- Code support
- Documentation writing
All diagrams, dataset generation, and labeling logic were created and validated by the author.
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