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While processing the DOTA 1.5 dataset, we've encountered annotations with coordinates that lie outside the boundaries of their corresponding images. This issue has been observed in at least two files: P0334.txt and P1872.txt.
Details
File: P1872.txt
Image dimensions: 2836×1689
Example problematic annotation:
How does this repository recommend handling out-of-bounds coordinates?
Are there any plans to address or correct these annotations in future releases?
Impact
These out-of-bounds coordinates can lead to issues when converting annotations to other formats (e.g., YOLO) or when training object detection models. They may result in incorrect object positions or sizes, potentially affecting model performance.
Proposed Solutions
We're considering the following approaches to handle this issue:
Clipping coordinates to image boundaries
Scaling coordinates to fit within image dimensions
Filtering out annotations with out-of-bounds coordinates
Any guidance on the preferred method would be appreciated.
Additional Information
DOTA version: 1.5
Processing script: (If applicable, provide a link or description of your processing script)
Thank you for your attention to this matter. We'd appreciate any insights or recommendations on how to proceed.
The text was updated successfully, but these errors were encountered:
Description
While processing the DOTA 1.5 dataset, we've encountered annotations with coordinates that lie outside the boundaries of their corresponding images. This issue has been observed in at least two files:
P0334.txt
andP1872.txt
.Details
Image dimensions: 2836×1689
Example problematic annotation:
235.0 1768.0 253.0 1765.0 259.0 1809.0 241.0 1810.0 small-vehicle 0
File: P1872.txt
Image dimensions: 4033x4096
Example problematic annotations:
10866.0 4726.0 10822.0 4862.0 10646.0 4822.0 10700.0 4666.0 plane 0 11012.0 4952.0 11056.0 4824.0 11192.0 4876.0 11162.0 4994.0 plane 0 11084.0 4796.0 11132.0 4652.0 11298.0 4714.0 11252.0 4850.0 plane 0 9992.0 1322.0 9922.0 1116.0 10120.0 1056.0 10190.0 1258.0 plane 0 10076.0 1500.0 9920.0 1558.0 9864.0 1414.0 10030.0 1358.0 plane 0 10256.0 1426.0 10096.0 1480.0 10052.0 1322.0 10206.0 1270.0 plane 0 10506.0 1334.0 10346.0 1396.0 10282.0 1236.0 10446.0 1174.0 plane 0 10738.0 1226.0 10606.0 1272.0 10556.0 1130.0 10682.0 1080.0 plane 0 11300.0 1084.0 11396.0 1056.0 11430.0 1162.0 11344.0 1204.0 plane 0 11376.0 988.0 11278.0 1014.0 11224.0 896.0 11324.0 864.0 plane 0 11500.0 932.0 11408.0 962.0 11362.0 852.0 11466.0 816.0 plane 0 11568.0 1036.0 11658.0 1000.0 11688.0 1078.0 11602.0 1114.0 plane 0 11590.0 260.0 11734.0 204.0 11782.0 366.0 11652.0 418.0 plane 0 11178.0 404.0 11332.0 354.0 11410.0 526.0 11254.0 590.0 plane 0 11036.0 496.0 11112.0 462.0 11154.0 534.0 11076.0 574.0 plane 0
Questions
Impact
These out-of-bounds coordinates can lead to issues when converting annotations to other formats (e.g., YOLO) or when training object detection models. They may result in incorrect object positions or sizes, potentially affecting model performance.
Proposed Solutions
We're considering the following approaches to handle this issue:
Any guidance on the preferred method would be appreciated.
Additional Information
Thank you for your attention to this matter. We'd appreciate any insights or recommendations on how to proceed.
The text was updated successfully, but these errors were encountered: