only_kaale_laale Image Dataset
Versions!
2024-06-26 5:01am
v35
· a day ago
1274
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2024-06-26 4:55am
v34
· a day ago
3037
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2024-06-26 4:36am
v33
· a day ago
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2024-06-26 4:36am
v32
· a day ago
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2024-06-23 2:34pm
v28
· 4 days ago
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2024-06-23 2:33pm
v27
· 4 days ago
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2024-06-23 2:29pm
v25
· 4 days ago
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2024-06-23 2:24pm
v22
· 4 days ago
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2024-06-23 2:22pm
v21
· 4 days ago
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2024-06-23 1:12pm
v20
· 4 days ago
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2024-06-23 1:12pm
v19
· 4 days ago
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2024-06-23 1:11pm
v18
· 4 days ago
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2024-06-23 1:07pm
v17
· 4 days ago
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2024-06-23 11:32am
v16
· 4 days ago
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2024-06-23 11:21am
v15
· 4 days ago
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2024-06-22 5:57am
v14
· 5 days ago
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2024-06-21 5:04am
v13
· 6 days ago
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2024-06-16 9:43am
v12
· 11 days ago
2621
2024-06-16 5:48am
v11
· 11 days ago
660
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2024-06-15 6:57pm
v10
· 12 days ago
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2024-06-13 11:16am
v9
· 14 days ago
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2024-06-13 11:01am
v8
· 14 days ago
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2024-06-13 10:47am
v7
· 14 days ago
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2024-06-11 8:08pm
v5
· 16 days ago
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2024-06-11 8:01pm
v4
· 16 days ago
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2024-06-03 12:22pm
v3
· 24 days ago
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2024-06-03 9:53am
v2
· 24 days ago
954
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2024-06-03 12:54am
v1
· 25 days ago
670
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v12
2024-06-16 9:43am
Generated on Jun 16, 2024
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.
2621 Total Images
View All ImagesDataset Split
Train Set 80%
2108Images
Valid Set 11%
300Images
Test Set 8%
213Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x480
Augmentations
Outputs per training example: 3
Blur: Up to 0.4px
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