duijia Image Dataset
Versions!
2024-04-20 6:09pm
v26
· 2 months ago
398
2024-04-15 11:07am
v25
· 2 months ago
392
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2024-04-13 9:22pm
v24
· 2 months ago
387
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2024-04-07 5:57pm
v23
· 3 months ago
382
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2024-03-30 9:23pm
v22
· 3 months ago
378
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2024-02-23 8:52pm
v21
· 4 months ago
373
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2024-02-22 2:23pm
v20
· 4 months ago
368
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2024-02-19 9:27pm
v19
· 4 months ago
362
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2024-02-03 11:42am
v18
· 5 months ago
357
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2024-01-25 4:16pm
v17
· 5 months ago
351
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2024-01-23 12:32pm
v16
· 5 months ago
347
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2024-01-03 3:11pm
v15
· 6 months ago
344
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2024-01-02 10:42pm
v14
· 6 months ago
325
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2024-01-02 2:39pm
v13
· 6 months ago
304
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2024-01-01 10:20pm
v12
· 6 months ago
287
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2024-01-01 12:58pm
v11
· 6 months ago
272
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2023-12-30 8:07pm
v10
· 6 months ago
259
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2023-12-29 9:06pm
v9
· 6 months ago
247
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2023-12-29 12:02pm
v8
· 6 months ago
227
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2023-12-28 1:10pm
v7
· 6 months ago
200
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2023-12-27 12:57pm
v6
· 6 months ago
180
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2023-12-26 2:49pm
v5
· 6 months ago
160
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2023-12-25 5:01pm
v4
· 6 months ago
145
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2023-12-24 10:30pm
v3
· 6 months ago
125
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2023-12-11 3:12pm
v2
· 7 months ago
103
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2023-12-08 3:38pm
v1
· 7 months ago
63
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v26
2024-04-20 6:09pm
Generated on Apr 20, 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.
398 Total Images
View All ImagesDataset Split
Train Set 71%
281Images
Valid Set 20%
81Images
Test Set 9%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
No augmentations were applied.
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