0827 Dataset
Versions
2023-09-28 7:44pm
v30
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2023-09-14 9:18am
v29
· a year ago
2023-09-14 8:33am
v28
· a year ago
2023-09-14 7:59am
v27
· a year ago
2023-09-13 8:09pm
v26
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2023-09-13 8:08am
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2023-09-12 7:59pm
v24
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2023-09-12 4:31pm
v23
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2023-09-11 8:20pm
v22
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2023-09-11 7:15pm
v21
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2023-09-05 8:39am
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2023-09-04 8:39am
v19
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2023-09-03 5:25pm
v18
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2023-09-03 2:53pm
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2023-09-03 8:22am
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2023-09-01 2:02pm
v15
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v28
2023-09-14 8:33am
Generated on Sep 14, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
95 Total Images
View All Images
Dataset Split
Train Set 76%
72Images
Valid Set 24%
23Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1080x1080
Augmentations
Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels