Dataset Versions
Versions
Validation
v17
· a year ago
Augmentation_1040_
v16
· 2 years ago
400_image_Train_80_valida_20
v15
· 2 years ago
Data_400 image -train100
v13
· 2 years ago
Data_1200 Train 100-
v12
· 2 years ago
yolov8_400_image_New_Augmentation
v11
· 2 years ago
Data 400 Not Augmentation
v10
· 2 years ago
2023-05-13 11:32pm
v9
· 2 years ago
2023-05-12 12:14am
v8
· 2 years ago
2023-05-11 8:31pm
v7
· 2 years ago
2023-05-11 2:03pm
v6
· 2 years ago
2023-05-11 2:03pm
v5
· 2 years ago
2023-05-09 4:49pm
v4
· 2 years ago
2023-05-09 4:44pm
v3
· 2 years ago
2023-05-06 5:56pm
v2
· 2 years ago
2023-05-06 3:04pm
v1
· 2 years ago
v6
2023-05-11 2:03pm
Generated on May 11, 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 YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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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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361 Total Images
View All Images
Dataset Split
Train Set 87%
315Images
Valid Set 10%
37Images
Test Set 2%
9Images
Preprocessing
Auto-Orient: Applied
Static Crop: 5-100% Horizontal Region, 30-99% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -25° and +25°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom