LiDAR 3D Captured Image Dataset from Drone Perspective

Object Detection

Dataset Versions

v1

2024-10-30 5:13pm

Generated on Oct 30, 2024

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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Dataset Split

Train Set 87%
15165Images
Valid Set 8%
1445Images
Test Set 4%
722Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Noise: Up to 0.3% of pixels

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