Dataset Versions
Versions
target_new_contenders
v8
· 3 years ago
target_update_validation_update
v7
· 3 years ago
added_target
v6
· 3 years ago
cleaned_null_urban
v5
· 3 years ago
cleaned_null_640_size
v4
· 3 years ago
cleaned_with_null_samples
v3
· 3 years ago
cleaned_dataset_w_aug
v2
· 3 years ago
yt_drones_augmented
v1
· 3 years ago
v3
cleaned_with_null_samples
Generated on Aug 25, 2021
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
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COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
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Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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5364 Total Images
View All Images
Dataset Split
Train Set 91%
4890Images
Valid Set 5%
289Images
Test Set 3%
185Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°