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rfonod
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geo-trax

Object Detection
ultralytics
ONNX
English
yolov8
aerial-imagery
drone
vehicle-detection
birds-eye-view
geo-trax
trajectory
urban-traffic
tracking
Eval Results (legacy)
Model card Files
xet
 Community
geo-trax

Commit History

27 days ago

  1. Add Geo Export badge

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  2. Refresh model card: v1.5.0 commands, fix ONNX snippet, align defaults

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    818f730

  1. docs: make the software citation version-independent

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    bfb79e7

  2. docs: cite the Zenodo concept DOI so the citation is version-independent

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    9216b85

  1. Fix Songdo Traffic DOI: use concept DOI 13828383 instead of v1 DOI 13828384⁠

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  1. Upload folder using huggingface_hub

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  1. Pin training and evaluation references to Songdo Vision v1; note v2 release

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  1. Upload folder using huggingface_hub

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  2. Fix figure height mismatch: HF's global CSS overrides HTML height attribute, so pad confusion_matrix_normalized.png to match PR_curve.png's aspect ratio instead

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    526df0e

  3. Add --sahi usage example; equalize PR curve / confusion matrix figure heights

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  4. Fix webp animation link to point to main branch; bump citation example to v1.3.0

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    c169663

  1. fix: set library_name to ultralytics to restore download tracking

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    3285aae

  1. fix: add base_model_relation: finetune to override ONNX-induced quantized inference

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    4c68b5c

  2. feat: add ONNX export (opset 12, 1920x1920, 46 MB)

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    656ccd2

  3. docs: add ONNX inference section to model card

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    551d925

  4. fix: switch library_name to pytorch, add num_parameters, add ultralytics tag

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  1. Upload folder using huggingface_hub

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  2. Upload folder using huggingface_hub

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  3. Upload folder using huggingface_hub

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  1. Update README.md

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  2. Upload folder using huggingface_hub

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  3. initial commit

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