Dataset Versions
Versions
it_3 detc
v28
· 5 days ago
it_3 yolo_8_x
v27
· 5 days ago
it_3 yolo_8_l
v26
· 5 days ago
it_3 yolo_8_m
v25
· 5 days ago
it_3 yolo_8_s
v24
· 5 days ago
it_2 detr
v23
· 8 days ago
it_2 yolo_8_x
v22
· 10 days ago
it_2 yolo_8_l
v21
· 10 days ago
it_2 yolo_8_m
v20
· 11 days ago
it_2 yolo_8_s
v19
· 11 days ago
it_1.1 detr
v18
· 13 days ago
it_1.1 yolo_8_x
v17
· 15 days ago
it_1.1 yolo_8_l
v16
· 15 days ago
it_1.1 yolo_8_m
v15
· 15 days ago
it_1.1 yolo_8_s
v14
· 15 days ago
it_1 yolo_8_l
v13
· 16 days ago
it_1 yolo_8_m
v12
· 16 days ago
it_1 yolo_8_s
v11
· 17 days ago
it_1 yolo_11_l
v10
· 17 days ago
it_1 yolo_11_m
v9
· 17 days ago
it_1 yolo_11_s
v8
· 17 days ago
it_1 yolo_11_x
v7
· 17 days ago
-
v6
· 17 days ago
12 classes
v5
· 25 days ago
8 classes
v4
· a month ago
5 classes -squalus_acanthias and squalus_suckleyi too similar-
v3
· a month ago
4 classes- improved the test-val splits from first 3
v2
· a month ago
3 classes
v1
· a month ago
v24
it_3 yolo_8_s
Generated on Nov 23, 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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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7019 Total Images
View All ImagesDataset Split
Train Set 86%
6003Images
Valid Set 7%
518Images
Test Set 7%
498Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Noise: Up to 0.5% of pixels