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![Figure 1: Examples of 9andBaseball field,data-set, including of the object classes we consider in our a: Runway, b: Soccer Field, c: Parking Lot, d: e: Golf course, f: Pier, g: Bridge, h: Lighthouse, i: Tennis court.](https://thumb-ap.123doks.com/thumbv2/123dok/3255880.1399148/1.595.335.507.365.536/examples-andbaseball-including-consider-parking-bridge-lighthouse-tennis.webp)
![Figure 3: Block diagram of the computational framework](https://thumb-ap.123doks.com/thumbv2/123dok/3255880.1399148/2.595.57.291.71.273/figure-block-diagram-of-the-computational-framework.webp)
![Figure 4: “TilePicker” GUI used to quickly curate detections aspart of the bootstrapping process.](https://thumb-ap.123doks.com/thumbv2/123dok/3255880.1399148/3.595.350.495.70.261/figure-tilepicker-quickly-curate-detections-aspart-bootstrapping-process.webp)
![Figure 8: (a) Visualization of the parking lot detection results inDenver area. (b) P-R curves for different types of training-data.](https://thumb-ap.123doks.com/thumbv2/123dok/3255880.1399148/4.595.310.539.69.186/figure-visualization-parking-detection-results-indenver-different-training.webp)
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