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
v1
2023-05-06 3:04pm
Generated on May 6, 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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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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240 Total Images
View All Images
Dataset Split
Train Set 88%
210Images
Valid Set 13%
30Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each