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riyajul505/crop-disease-detector

https://github.com/riyajul505/crop-disease-detector · scanned 2026-06-15 23:52 UTC (2 months, 3 weeks ago)

10 raw signals (0 security + 10 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 3 weeks ago · v1 · 10 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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All 23 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
train.py software healthy train.py
prepare_dataset.py software healthy prepare_dataset.py
treatments.py software healthy treatments.py
README.md software healthy README.md
app.py software healthy app.py
requirements.txt software healthy requirements.txt
evaluate.py software healthy evaluate.py
per_class_metrics.md software healthy results/per_class_metrics.md
yolov8_finetune.yaml software healthy configs/yolov8_finetune.yaml

LabelLayerStatusPath
main software healthy train.py:21
leaf_bbox software healthy prepare_dataset.py:59
download software healthy prepare_dataset.py:89
main software healthy prepare_dataset.py:101
treatment_for software healthy treatments.py:50
detect software dead app.py:39
per_class_table software healthy evaluate.py:28
plot_training_curves software healthy evaluate.py:45
main software healthy evaluate.py:87

LabelLayerStatusPath
results software healthy results
configs software healthy configs

LabelLayerStatusPath
repobility-clone-75hw0y01 software healthy /tmp/repobility-clone-75hw0y01

LabelLayerStatusPath
127.0.0.1 network healthy README.md

LabelLayerStatusPath
gpu (detected) hardware healthy train.py
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