Dataset Versions
Versions
AcheAedes 5
v13
· 2 years ago
AcheAedes Dataset v4
v12
· 3 years ago
AcheAedes Dataset v3.1
v11
· 3 years ago
AcheAedes Dataset v3
v10
· 3 years ago
AcheAedes Dataset v2
v7
· 3 years ago
aedes6
v6
· 3 years ago
aedes5
v5
· 3 years ago
aedes4
v4
· 3 years ago
aedes3
v3
· 3 years ago
acheaedes 2
v2
· 3 years ago
2021-11-19 12:12pm
v1
· 3 years ago
v6
aedes6
Generated on Nov 19, 2021
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
Other Formats
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139 Total Images
View All Images
Dataset Split
Train Set 82%
114Images
Valid Set %
0Images
Test Set 18%
25Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 4.25px
Bounding Box: Noise: Up to 3% of pixels