Cadryl · LiteRT models by task
An Android studio for importing images, reviewing model proposals, correcting annotations and exporting datasets. 48 model groups · 99 LiteRT exports · 93 image / 6 audio.
Quick card
| Field | Reference |
|---|---|
| Use | Choose a specialized inference model for one documented task. |
| Expected input | An image and its exact export configuration; audio uses a separate native frontend. |
| Example | Import a model/config pair, try a representative image, review and preserve human annotations. |
| Limits | Inference-only collection; benchmark scores do not establish accuracy on your photos or complete Release/device qualification. |
| Contract | Per-export catalogue · Import guide |
Choose a variant · Resource navigation · Update log
15 task comparisons · All variants · JSON index
| Task group | Available uses |
|---|---|
| Classification | Waste, materials, PCB1 anomalies, sharpness, clothing, fruit freshness, gestures, signed alphabet, indoor/outdoor scenes and Kuzushiji. |
| Detection | Helmets/heads/people and document text blocks. |
| Segmentation | Pothole foreground masks. |
| Points | Four document corners. |
| Audio | Spoken digits, with the exact audio frontend. |
Use a matching pair
- Retrieve the chosen
.tfliteand its exact.tflite.model_config.jsonat one immutable revision. - Import both into Cadryl; preserve labels, preprocessing, tensor outputs and thresholds.
- Try a representative image, review proposals and preserve corrected human annotations.
Application · Downloads · Getting started · About Unicorn Who Dev
Evidence and remaining limits
The existing execution receipt reports 93 cloud image executions and 66/93 image variants executed on ARM64 Debug, with synthetic device inputs. Complete physical-device coverage and Release APK qualification remain open. These are execution checks, not representative photo accuracy or phone timing benchmarks.
The comparisons retain full-test scores, recorded intervals and exact source hashes. Historical scores without a public common-test identity are not ranked. Fashion-MNIST at 460 px remains deferred. No training, new evaluation or paid compute is started by this update.
General-purpose conversions · Audio frontend · Hashes · Attributions. Original corpus/checkpoint restrictions remain applicable; no new blanket weight licence is assigned.
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