Versions
Versions
1600x1352
v28
2599
1600px
v27
2599
1600x1600
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1200px
v26
2599
1200x1200
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2024-07-17 3:42pm
v25
4644
832x832
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blur
v24
4644
832x832
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noiseinjections_2x
v23
4644
832x832
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1800img
v22
2599
1800x1800
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2024-06-16 12:23pm
v21
6689
832x832
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2024-06-16 12:22pm
v20
7599
832x832
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2500img
v19
2599
832x832
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2000img
v18
2599
832x832
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1500img
v17
2599
832x832
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1000img
v16
2599
832x832
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500img
v15
2599
832x832
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preprocess_contrast
v13
2599
832x832
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preprocess_adoptive_histogram
v12
2599
832x832
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preprocess_croped
v11
2599
832x832
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832
v10
2599
832x832
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preproccesshistogram
v9
2599
832x832
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grayscale832
v7
2599
832x832
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1400
v6
2599
1400x1400
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1024
v5
2599
1024x1024
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320
v4
2599
320x320
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640
v3
2599
640x640
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baseline
v1
2599
Fast
COCO
v28
1600x1352
Generated on Dec 10, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
2599 Total Images
View All Images
Dataset Split
Train Set 79%
2045Images
Valid Set 8%
204Images
Test Set 13%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1600x1352
Augmentations
No augmentations were applied.