Dataset Versions
Versions
consumo_e_altoem
v24
· 7 months ago
2024-03-25 10:59am
v23
· 10 months ago
2024-03-25 10:52am
v22
· 10 months ago
2024-03-25 8:03am
v21
· 10 months ago
augmentation
v20
· 10 months ago
2024-03-22 9:41am
v19
· 10 months ago
2023-11-06 11:46am
v18
· a year ago
Consumo_Consciente
v17
· a year ago
No_Augmentation
v16
· a year ago
Augmentation -Outdated-
v14
· a year ago
v14
Augmentation -Outdated-
Generated on Oct 23, 2023
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.
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626 Total Images
View All Images
Dataset Split
Train Set 86%
540Images
Valid Set 13%
82Images
Test Set 1%
4Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Cutout: 8 boxes with 8% size each