mq-drones-aruco Dataset
Versions
2023-01-19 10:38am
v9
· 2 years ago
2023-01-19 10:36am
v8
· 2 years ago
2023-01-18 11:26am
v7
· 2 years ago
2023-01-18 11:20am
v6
· 2 years ago
2023-01-18 11:17am
v5
· 2 years ago
2023-01-18 11:13am
v4
· 2 years ago
2023-01-18 11:01am
v3
· 2 years ago
2023-01-18 10:58am
v2
· 2 years ago
2023-01-18 10:51am
v1
· 2 years ago
v9
2023-01-19 10:38am
Generated on Jan 18, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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806 Total Images
View All ImagesDataset Split
Train Set 93%
750Images
Valid Set 7%
56Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Exposure: Between -30% and +30%
Blur: Up to 10px
Noise: Up to 10% of pixels