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
v6
added_target
Generated on Aug 26, 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 YOLOv9.
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TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
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.
Pascal VOC XML
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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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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6423 Total Images
View All Images
Dataset Split
Train Set 93%
5949Images
Valid Set 4%
289Images
Test Set 3%
185Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
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°
Bounding Box: Blur: Up to 2px