Image-to-Text
PyTorch
Safetensors
PEFT
English
remote-sensing
satellite-imagery
earth-observation
change-detection
visual-grounding
image-captioning
visual-question-answering
optical-sar-fusion
sar
multimodal
lora
Instructions to use thundercode/SatQuery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thundercode/SatQuery with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
release: add tools/readme_metrics_report.txt
Browse files
tools/readme_metrics_report.txt
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STATUS claim artifact readme source
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----------------------------------------------------------------------------------------------------------------------
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MATCH change pooled IoU 0.8122 0.8122 artifacts/change/eval_test/eval_result.json#metrics.pooled.iou
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MATCH change macro IoU 0.8457 0.8457 artifacts/change/eval_test/eval_result.json#metrics.macro.miou
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MATCH change pooled F1 0.8964 0.8964 artifacts/change/eval_test/eval_result.json#metrics.pooled.f1
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MATCH grounding canonical head_threshold mean_best_IoU 0.2838 0.2838 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_threshold.mean_best_iou
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MATCH grounding canonical head_threshold recall@0.5 0.2198 0.2198 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_threshold.recall.0.50
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MATCH grounding matched6 head_threshold mean_best_IoU 0.2566 0.2566 artifacts/grounding/remoteclip_grounding_v001/eval_result_matched6.json#results.head_threshold.mean_best_iou
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MATCH grounding matched6 head_threshold recall@0.5 0.1938 0.1938 artifacts/grounding/remoteclip_grounding_v001/eval_result_matched6.json#results.head_threshold.recall.0.50
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MATCH grounding head_argmax mean_best_IoU (canonical) 0.1215 0.1215 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_argmax.mean_best_iou
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MATCH grounding zero-shot baseline IoU (canonical) 0.0972 0.0972 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.zero_shot_matched.mean_best_iou
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MATCH optical-SAR fusion accuracy 0.931 0.931 artifacts/optical_sar/fusion_head_production_v001/pre_registered_115_metric.json#accuracy
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MATCH optical-SAR fusion macro_F1 0.434161 0.434161 artifacts/optical_sar/fusion_head_production_v001/pre_registered_115_metric.json#macro_f1
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MATCH change_vqa test accuracy 0.697626367 0.697626 artifacts/change_vqa/run/PROMOTION.json#verification.test_accuracy
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MATCH change_vqa test macro_F1 0.378373275 0.378373 artifacts/change_vqa/run/PROMOTION.json#verification.test_macro_f1
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MATCH change_vqa test2 accuracy 0.651469262 0.651469 artifacts/change_vqa/run/PROMOTION.json#verification.test2_accuracy
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MATCH change_vqa test2 macro_F1 0.372308516 0.372309 artifacts/change_vqa/run/PROMOTION.json#verification.test2_macro_f1
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MATCH router overall ungated accuracy 0.965116 0.965116 artifacts/router/threshold_sweep_val.json#overall_ungated_accuracy
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MATCH calibration ECE before scaling 0.013755 0.013755 artifacts/calibration_v001.json#metrics.ece_before
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MATCH calibration ECE after scaling 0.014929 0.014929 artifacts/calibration_v001.json#metrics.ece_after
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MATCH VLM adapter exact_match 0.963 0.963 artifacts/vlm/phase6_closure.json#why_usable_verified.adapted_test.exact_match
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MATCH VLM adapter F1 0.96432 0.96432 artifacts/vlm/phase6_closure.json#why_usable_verified.adapted_test.f1
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=== status assertions ===
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VLM headline contains ACCEPTANCE-REJECTED : True
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VLM status : CLOSED
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router corpus_limited : True
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router n_val : 86
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calibration temperature (temperature_scaling.temperature) : 0.9772731820958189
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calibration ece_improvement : -0.001174 (negative => calibration did NOT help)
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RESULT: ALL CLAIMS VERIFIED
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