Dataset Versions
Versions
600 images with noise 1.0
v13
· 3 months ago
600 images with noise 0.5
v12
· 3 months ago
600 images with noise 0.3
v11
· 3 months ago
600 images with noise 0.1
v10
· 3 months ago
another 100 contrasted images
v9
· 3 months ago
added 100 contrasted images
v8
· 3 months ago
200 more thicker edges
v7
· 3 months ago
white grey and black background with thicker edges
v6
· 3 months ago
white grey and black background
v5
· 3 months ago
white and grey background
v4
· 3 months ago
white background with noise 0.3
v3
· 3 months ago
white background with noise 0.1
v2
· 3 months ago
white background
v1
· 3 months ago
v12
600 images with noise 0.5
Generated on Sep 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 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.
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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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1440 Total Images
View All Images
Dataset Split
Train Set 88%
1260Images
Valid Set 13%
180Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Noise: Up to 0.5% of pixels