Dataset Versions
Versions
2024-07-29 1:53am
v18
· 4 months ago
Test_Train_500x500
v17
· 4 months ago
2024-07-26 4:36am
v16
· 4 months ago
2024-07-26 1:59am
v15
· 4 months ago
2024-07-25 7:11am
v12
· 4 months ago
2024-07-25 6:51am
v11
· 4 months ago
2024-07-25 4:28am
v10
· 4 months ago
2024-02-29 7:38am
v9
· 9 months ago
2024-02-21 8:56pm
v8
· 9 months ago
2024-02-21 3:17pm
v7
· 9 months ago
v18
2024-07-29 1:53am
Generated on Jul 29, 2024
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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533 Total Images
View All Images
Dataset Split
Train Set 88%
468Images
Valid Set 8%
43Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 500x500
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±12° Vertical
Hue: Between -23° and +23°
Brightness: Between -1% and +1%
Exposure: Between -4% and +4%
Blur: Up to 0.1px
Noise: Up to 0.02% of pixels