options Image Dataset
Versions
2021-12-13 2:35pm
v28
· 3 years ago
2021-12-13 2:32pm
v27
· 3 years ago
2021-12-13 1:36pm
v26
· 3 years ago
2021-12-13 1:35pm
v25
· 3 years ago
2021-12-13 1:34pm
v24
· 3 years ago
2021-12-13 1:33pm
v23
· 3 years ago
2021-12-13 1:32pm
v22
· 3 years ago
2021-12-13 1:30pm
v21
· 3 years ago
2021-12-13 1:30pm
v20
· 3 years ago
2021-12-13 1:29pm
v19
· 3 years ago
2021-12-13 1:27pm
v18
· 3 years ago
2021-12-13 1:26pm
v17
· 3 years ago
2021-12-13 1:26pm
v16
· 3 years ago
2021-12-13 1:24pm
v15
· 3 years ago
2021-12-13 1:19pm
v14
· 3 years ago
2021-12-13 1:16pm
v13
· 3 years ago
2021-12-13 1:12pm
v12
· 3 years ago
2021-12-13 12:26am
v11
· 3 years ago
2021-12-13 12:25am
v10
· 3 years ago
2021-12-13 12:21am
v9
· 3 years ago
2021-12-13 12:20am
v8
· 3 years ago
2021-12-13 12:19am
v7
· 3 years ago
2021-12-12 11:50pm
v6
· 3 years ago
2021-12-12 11:48pm
v5
· 3 years ago
2021-12-12 11:31pm
v4
· 3 years ago
2021-12-12 10:51pm
v3
· 3 years ago
2021-12-12 10:37pm
v1
· 3 years ago
v15
2021-12-13 1:24pm
Generated on Dec 13, 2021
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.
50 Total Images
View All Images
Dataset Split
Train Set 60%
30Images
Valid Set 20%
10Images
Test Set 20%
10Images
Preprocessing
Resize: Fit within 320x320
Tile: 2 rows x 4 columns
Filter Null: Require at least 60% of images to contain annotations.
Augmentations
No augmentations were applied.
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