Dataset Versions
Versions
2024-06-26 4:01pm
v17
· 5 months ago
fixing some augmentation
v16
· 5 months ago
2024-06-18 6:29pm
v15
· 5 months ago
2024-06-18 6:11pm
v14
· 5 months ago
2024-06-13 8:03am
v13
· 5 months ago
2024-06-11 8:21pm
v12
· 5 months ago
2024-06-09 12:59am
v10
· 6 months ago
Preprocess step added
v9
· 6 months ago
issue fixed version
v8
· 6 months ago
v13
2024-06-13 8:03am
Generated on Jun 13, 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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6933 Total Images
View All Images
Dataset Split
Train Set 92%
6393Images
Valid Set 4%
276Images
Test Set 4%
264Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.42% of pixels