Dataset Versions
Versions
2023-11-22 9:52pm
v12
· a year ago
Augmentation to get higher AP with efficeintDet2
v11
· a year ago
2023-08-28 7:35pm
v10
· a year ago
2023-08-28 7:34pm
v9
· a year ago
2023-08-28 7:33pm
v8
· a year ago
2023-08-25 7:02pm
v7
· a year ago
augmentation round 2 - 888
v6
· a year ago
2023-08-24 9:21pm
v5
· a year ago
augmentation round 1 - 225
v4
· a year ago
2023-08-24 8:35pm
v3
· a year ago
2023-08-24 8:34pm
v2
· a year ago
2023-08-24 8:23pm
v1
· a year ago
v6
augmentation round 2 - 888
Generated on Aug 24, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
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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888 Total Images
View All Images
Dataset Split
Train Set 100%
888Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 512x512
Augmentations
Outputs per training example: 3
Brightness: Between -15% and +15%
Noise: Up to 5% of pixels