TA Image Dataset
Versions
2024-01-15 10:11am
v29
Jan 15, 2024
2024-01-14 5:57pm
v28
Jan 14, 2024
2024-01-14 5:53pm
v27
Jan 14, 2024
2024-01-14 5:38pm
v26
Jan 14, 2024
2024-01-14 5:35pm
v25
Jan 14, 2024
2024-01-14 5:33pm
v24
Jan 14, 2024
2024-01-14 5:32pm
v23
Jan 14, 2024
2024-01-14 5:31pm
v22
Jan 14, 2024
2024-01-14 4:46pm
v21
Jan 14, 2024
2024-01-14 4:45pm
v20
Jan 14, 2024
2024-01-14 4:44pm
v19
Jan 14, 2024
2024-01-14 4:40pm
v18
Jan 14, 2024
2024-01-14 4:39pm
v17
Jan 14, 2024
2024-01-14 4:38pm
v16
Jan 14, 2024
2024-01-14 4:35pm
v15
Jan 14, 2024
2024-01-14 4:34pm
v14
Jan 14, 2024
2024-01-14 4:30pm
v13
Jan 14, 2024
2024-01-12 10:13am
v12
Jan 12, 2024
2024-01-12 9:32am
v11
Jan 12, 2024
2023-12-20 2:51pm
v10
Dec 20, 2023
2023-12-20 2:49pm
v9
Dec 20, 2023
2023-12-20 2:45pm
v8
Dec 20, 2023
2023-12-20 2:28pm
v7
Dec 20, 2023
2023-12-20 2:13pm
v6
Dec 20, 2023
2023-12-20 1:53pm
v5
Dec 20, 2023
2023-12-20 1:32pm
v4
Dec 20, 2023
2023-06-28 12:01pm
v3
Jun 28, 2023
2023-06-27 2:55pm
v2
Jun 27, 2023
2023-03-13 3:40pm
v1
Mar 13, 2023
v25
2024-01-14 5:35pm
Generated on Jan 14, 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.
1581 Total Images
View All Images
Dataset Split
Train Set 59%
936Images
Valid Set 24%
383Images
Test Set 17%
262Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-78% Horizontal Region, 10-84% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
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