THE CURIOUS SIDE OF AI
VISION / DATASET GUIDE
beans
A small bean-leaf image classification dataset. This is a classifier workflow, not direct text LoRA data.
Source reviewed 2026-10-24 · AiBrainWorX editorial guide
- Purpose
- Image classification
- Format
- image; labels (three classes)
- Workflow
- External image-classification transfer learning
- License
- mit
01 / COMPATIBILITY
Separate classification trainer required
Verify exact data rights, prepare a small local subset and evaluate on held-out data. No remote dataset code is executed.
02 / PREPARE LOCALLY
Keep the first run small
- Review the selected source subset, license and data rights.
- Prepare the format required by the chosen trainer. Audio, image classification and text SFT are different workflows.
- Set aside evaluation examples and inspect the final records before training.
- For the launcher text worker, choose a local JSONL file and supported HF checkpoint, then run Preflight.
Our test status
Metadata/schema reviewed, not downloaded or used in training.
03 / ORIGINAL SOURCE
Review files and terms
This is an original concise guide, not a mirror or relicense of the dataset.
Open original publisher ↗Reviewed source revision: 27aa014ce09b193e1a6f58112d4a66e0eddb69c5