This project contains archived endpoints!
We recently moved team projects into workspaces and had to generate new endpoints. To prevent notebook and production errors, we preserved the original endpoints here. Update your notebooks and inference endpoints to reference the active project, then delete this archive.
View active project in the new workspace →Drone Control Image Dataset
v1
3x_aug
Generated on May 19, 2021
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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61133 Total Images
View All Images
Dataset Split
Train Set 87%
53490Images
Valid Set 8%
5094Images
Test Set 4%
2549Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
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