Humach Vision: Image Classification Audit
Audit image metadata, split integrity and class balance before training a vision model.
Download mini_vision.csvUse Python, SQL, Excel or your preferred workflow unless a task specifies otherwise.
Project dataset
Download CSVInspect the CSV before you answer the tasks
Scroll horizontally or vertically to examine the exact miniature data used by the validator.
| image_id | class | width | height | brightness | split |
|---|---|---|---|---|---|
| IMG001 | dog | 224 | 224 | 0.38 | train |
| IMG002 | bird | 224 | 224 | 0.46 | train |
| IMG003 | cat | 224 | 224 | 0.54 | validation |
| IMG004 | dog | 224 | 224 | 0.62 | test |
| IMG005 | bird | 320 | 224 | 0.7 | train |
| IMG006 | cat | 224 | 224 | 0.78 | train |
| IMG007 | dog | 224 | 224 | 0.3 | train |
| IMG008 | bird | 224 | 224 | 0.38 | validation |
| IMG009 | cat | 224 | 224 | 0.46 | test |
| IMG010 | dog | 320 | 224 | 0.54 | train |
| IMG011 | bird | 224 | 224 | 0.62 | train |
| IMG012 | cat | 224 | 224 | 0.7 | train |
| IMG013 | dog | 224 | 224 | 0.78 | validation |
| IMG014 | bird | 224 | 224 | 0.3 | test |
| IMG015 | cat | 320 | 224 | 0.38 | train |
| IMG016 | dog | 224 | 224 | 0.46 | train |
| IMG017 | bird | 224 | 224 | 0.54 | train |
| IMG018 | cat | 224 | 224 | 0.62 | validation |
| IMG019 | dog | 224 | 224 | 0.7 | test |
| IMG020 | bird | 320 | 224 | 0.78 | train |
| IMG021 | cat | 224 | 224 | 0.3 | train |
| IMG022 | dog | 224 | 224 | 0.38 | train |
| IMG023 | bird | 224 | 224 | 0.46 | validation |
| IMG024 | cat | 224 | 224 | 0.54 | test |
| IMG025 | dog | 320 | 224 | 0.62 | train |
| IMG026 | bird | 224 | 224 | 0.7 | train |
| IMG027 | cat | 224 | 224 | 0.78 | train |
| IMG028 | dog | 224 | 224 | 0.3 | validation |
| IMG029 | bird | 224 | 224 | 0.38 | test |
| IMG030 | cat | 320 | 224 | 0.46 | train |
| IMG031 | dog | 224 | 224 | 0.54 | train |
| IMG032 | bird | 224 | 224 | 0.62 | train |
| IMG033 | cat | 224 | 224 | 0.7 | validation |
| IMG034 | dog | 224 | 224 | 0.78 | test |
| IMG035 | bird | 320 | 224 | 0.3 | train |
| IMG036 | cat | 224 | 224 | 0.38 | train |
| IMG037 | dog | 224 | 224 | 0.46 | train |
| IMG038 | bird | 224 | 224 | 0.54 | validation |
| IMG039 | cat | 224 | 224 | 0.62 | test |
| IMG040 | dog | 320 | 224 | 0.7 | train |
Project workspace
Analyse → validate → submit.
Numeric and decision tasks are auto-checked. Written reasoning is checked for completeness and key ideas, then included in your local submission report.
0/5 validated
How many images are in the test split?
How many images are labelled dog?
What is a dangerous split issue for near-duplicate images?
Name one augmentation that could be reasonable and one that might change label semantics.
Submit your project locally
HumachLearn stores no server-side data. Submission creates a portable JSON report containing your answers, validation state and timestamp.