Dataset Versions
Versions
v4 augmented extended
v15
· 6 months ago
v4 augmented -blur-
v14
· a year ago
v4 augmented
v13
· a year ago
original dataset v4
v12
· a year ago
v3 augmented
v11
· a year ago
original dataset v3
v8
· a year ago
v2 augmented
v7
· a year ago
original dataset v2
v6
· a year ago
original dataset v1
v5
· a year ago
v1 augmented
v3
· a year ago
2023-10-25 6:08pm
v1
· a year ago
v14
v4 augmented -blur-
Generated on Dec 19, 2023
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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.
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PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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967 Total Images
View All Images
Dataset Split
Train Set 87%
846Images
Valid Set 8%
82Images
Test Set 4%
39Images
Preprocessing
Resize: Fit within 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Blur: Up to 2.5px