Dataset Versions
Versions
2024-08-19_wonsize
v9
· 3 months ago
2024-08-13_short_protec_add
v7
· 4 months ago
2024-08-13 2:34am
v6
· 4 months ago
2024-08-13_640xsize_noequalizer
v5
· 4 months ago
2024-08-13_Renewal
v4
· 4 months ago
2024-08-01 2:48am
v3
· 4 months ago
2024-08-01 2:46am
v2
· 4 months ago
2024-08-01 2:39am
v1
· 4 months ago
v9
2024-08-19_wonsize
Generated on Aug 19, 2024
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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169 Total Images
View All Images
Dataset Split
Train Set 80%
135Images
Valid Set 11%
18Images
Test Set 9%
16Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5.01% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Noise: Up to 5.01% of pixels