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Charlbi/Lite_rt_prepared_for_android_dataset_builder
Lite_rt_prepared_for_android_dataset_builder is a machine learning model from Charlbi. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Français / English · Charlbi · Documentation 2026-09-21
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From the Hugging Face model README
Français / English · Charlbi · Documentation 2026-09-21
25 variantes actives, dont 15 avec apprentissage de tête/adaptation. Poids téléchargés séparément de l’APK. Les encodeurs visuels restent figés.
25 current variants, including 15 trainable heads/adapters. Model weights are downloaded separately from the APK. Visual backbones remain frozen.
Résultats complets FR · Full results EN · Utilisation FR · Usage EN

5 succès applicatifs, 1 échec RTMDet, 19 variantes à tester. / 5 application passes, 1 RTMDet failure, 19 variants pending. A separate RepViT learning SDK report is documented separately. These are functional checks, not phone speed or accuracy benchmarks.
| Conversion | Host train | Standalone SDK | App |
|---|---|---|---|
| caformer_s18_learning | PASS | PENDING | PENDING |
| convformer_s18 | N/A | PENDING | PENDING |
| convformer_s18_learning | PASS | PENDING | PENDING |
| dinov2 | N/A | PENDING | PENDING |
| dinov2_learning | PASS | PENDING | PENDING |
| edgenext_small_usi_learning | PASS | PENDING | PASS |
| edgenext_x_small_learning | PASS | PENDING | PASS |
| edgenext_xx_small_learning | PASS | PENDING | PASS |
| efficientformer_l1_learning | PASS | PENDING | PENDING |
| efficientvit_sam | N/A | PENDING | PENDING |
| florence2 | N/A | PENDING | PENDING |
| hgnetv2_b0 | N/A | PENDING | PENDING |
| hgnetv2_b0_learning | PASS | PENDING | PENDING |
| repvit_m1 | N/A | PENDING | PASS |
| repvit_m1_learning | PASS | Reported PASS | PENDING |
| rfdetr | N/A | PENDING | PENDING |
| rfdetr_learning | PASS | PENDING | PENDING |
| rtmdet_tiny | N/A | PENDING | FAIL |
| rtmdet_tiny_learning | PASS | PENDING | PASS |
| table_transformer_detection_learning | PASS | PENDING | PENDING |
| table_transformer_structure_learning | PASS | PENDING | PENDING |
| tinyclip | N/A | PENDING | PENDING |
| tinyclip_learning | PASS | PENDING | PENDING |
| vitpose | N/A | PENDING | PENDING |
| vitpose_learning | PASS | PENDING | PENDING |

The reports distinguish host conversion, standalone Android SDK and Vision Dataset Studio integration. Historical converter flags are retained in the original JSON; dated model-card updates link to later app receipts. No physical ARM phone, task accuracy or generalization is claimed.
Les rapports distinguent conversion hôte, SDK Android autonome et intégration à Vision Dataset Studio. Les indicateurs historiques des JSON restent inchangés ; les cartes datées renvoient aux reçus applicatifs ultérieurs. Aucune précision métier, généralisation ni qualification sur téléphone ARM n’est annoncée.
Each models/ folder preserves weights, hash manifests, runtime contracts, conversion/training reports and upstream notices where supplied. Historical fixed-shape versions are in archive. Use a pinned revision and verify hashes before loading. Each upstream licence applies independently; this collection does not grant a blanket licence to third-party weights.
Chaque dossier conserve poids, empreintes, contrats, rapports et attributions disponibles. Utiliser une révision épinglée, vérifier les hashes et consulter les conditions propres au modèle ; aucune licence globale des poids tiers n’est accordée ici.
Application: Vision Dataset Studio · Reproducible figure data.