PoupouleDetector V1 Dataset
Versions
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v16
· 2 years ago
320px
v15
· 2 years ago
2022-06-25 2:06pm
v14
· 2 years ago
2022-05-30 9:49pm
v13
· 2 years ago
2022-05-26 11:39pm
v12
· 2 years ago
2022-05-26 6:28pm
v11
· 2 years ago
All validation
v10
· 2 years ago
99 images
v6
· 2 years ago
2022-05-08 8:28pm
v5
· 2 years ago
2022-05-06 2:07pm
v2
· 2 years ago
Start
v1
· 2 years ago
v2
2022-05-06 2:07pm
Generated on May 6, 2022
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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117 Total Images
View All Images
Dataset Split
Train Set 89%
104Images
Valid Set 7%
8Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Brightness: Between 0% and +26%
Exposure: Between -13% and +13%