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12,489 | train/hf_img_18916.jpg | hf_img_18916.jpg | 00fd5d6c71fc779601c68575aeb83035caa1d28c02c38db5830409991e40d32b | 1,920 | 1,080 | train | fire_smoke | hf-v1:fasdd | fasdd-v9-cv-98d01b918ad7270cfd1cf6a4 | CC-BY-SA-4.0 | original_archive_yolo_source_namespace_verified | false | {
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16,807 | train/hf_img_25341.jpg | hf_img_25341.jpg | e80d0da34247c91412f09a79d6fb5688921ad187e8bad58e13db2e1649d724ef | 914 | 1,278 | train | fire_smoke | hf-v1:fasdd | fasdd-v9-cv-d37207cb73b754ac555313e2 | CC-BY-SA-4.0 | original_archive_yolo_source_namespace_verified | true | {
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54,890 | train/roboflow_détection-d'incendie-2_WEB06947_jpg.rf.78caf3c7710dd373c9287ec4db9fbe9a.jpg | roboflow_détection-d'incendie-2_WEB06947_jpg.rf.78caf3c7710dd373c9287ec4db9fbe9a.jpg | 3ae508245bacdc41377292b8d65a2e2cbdf22ef07d6e5b3d091f797499f81276 | 640 | 640 | train | fire_smoke | roboflow:détection-d'incendie-2 | train/WEB06947_jpg.rf.78caf3c7710dd373c9287ec4db9fbe9a.jpg | [{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}] | original_roboflow_coco_sha256_paired | false | {
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24,740 | train/hf_img_48581.jpg | hf_img_48581.jpg | c2f887186e20644ad913c93b4714ac19db2c8fc61833dafdaa515b2ea2ebcafe | 1,280 | 720 | train | fire_smoke | hf-v1:pyro-sdis | pyro_sdis_a1e553e:dd69390120a9edd2e0f4d074 | Apache-2.0 | original_archive_yolo_source_namespace_verified | true | {
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60,517 | train/roboflow_smoke-and-fire-detection-22_image_71_jpg.rf.ed77c51ee577eeab9a9dec0c4575919c.jpg | roboflow_smoke-and-fire-detection-22_image_71_jpg.rf.ed77c51ee577eeab9a9dec0c4575919c.jpg | 65dd48452cf4cfe59ddd1d79b2d18483bff7baa50eff16b56872f88005436924 | 640 | 640 | train | fire_smoke | roboflow:smoke-and-fire-detection-22 | train/image_71_jpg.rf.ed77c51ee577eeab9a9dec0c4575919c.jpg | [{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}] | original_roboflow_coco_sha256_paired | false | {
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54,191 | train/roboflow_détection-d'incendie-2_Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg | roboflow_détection-d'incendie-2_Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg | 92c7d63c24489c1eb58337e73f014bd68eb66e58d70a4a186aebfcbee4391862 | 640 | 640 | train | fire_smoke | roboflow:détection-d'incendie-2 | train/Screenshot-2024-02-06-111821_png_jpg.rf.8ec5a56822db161df6d26ed1f2fb553d.jpg | [{"id": 1, "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0"}] | original_roboflow_coco_sha256_paired | true | {
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v2.5 box precise and multi source suplement
64,061 public images, from the final deduplicated trainv2.5final1 corpus. 7,574 retained MyData_Fire images and all their annotations are excluded because their source metadata says Private. The ongoing training corpus is preserved separately.
A further 12,025 images from sources with undocumented redistribution rights are held outside this public release.
Separate annotation variants
| Configuration | Categories | COCO annotations |
|---|---|---|
fire_smoke |
0 = fire, 1 = smoke | annotations/fire_smoke/ |
probable_fire |
0 = probable fire | annotations/probable_fire/ |
Both variants contain exactly the same images, bytes and train/validation/test membership. Boxes use COCO xywh pixels at original archive dimensions. Fire includes the original flame/fire categories; smoke retains its source category. The probable-fire annotations match the current training annotations for every admitted public image. Identical fire and smoke boxes may be represented twice in the separate-class variant.
| Split | Images | Fire boxes | Smoke boxes | Probable-fire boxes |
|---|---|---|---|---|
| train | 46576 | 31908 | 27858 | 59766 |
| validation | 7647 | 1950 | 3547 | 5497 |
| test | 9838 | 6983 | 6354 | 13337 |
Loading
from datasets import load_dataset
ds = load_dataset("fireviewer/v2.5-box-precise-and-multi-source-suplement", "fire_smoke", split="train", streaming=True)
merged = load_dataset("fireviewer/v2.5-box-precise-and-multi-source-suplement", "probable_fire", split="train", streaming=True)
Use prepare_coco.py to materialize native images and the selected COCO annotations in a remote CPU runtime. No image resizing or recompression is performed during this publication. Keep test for final evaluation.
Source mapping and checks
The legacy HF source maps 0 to smoke and 1 to fire; local exports have their own namespaces. Publication never uses a universal interpretation of input YOLO IDs. Original Roboflow COCO category names are recovered through the retained image-pairing records. Every published image hash, dimension, final box, split count and Parquet row is checked before upload. See DATA_FILES_MANIFEST.json, provenance/release-input.json and provenance/source-notices.json.
The title is a version name, not a claim of exhaustive human validation or mathematically exact boundaries. Some source boxes were automatically tightened in the upstream archive. The original authority is retained; source pairing and structural checks do not establish the semantic correctness of every box. Known duplicate groups have been removed; unseen related scenes remain possible.
Sources and rights
There is no blanket licence for all images. Repository metadata uses license: other. Retain the per-row source licence and the source notices. This release grants no new image rights. Private MyData_Fire images, labels and source records are not published.
- hf-v1:fasdd: 29005 images.
- hf-v1:pyro-sdis: 9414 images.
- local-add:Small Fire Smoke OD Dataset.v6i.coco.zip: 1186 images.
- local-add:fire.v1i.coco.zip: 7877 images.
- roboflow:détection-d'incendie-2: 10321 images.
- roboflow:mixfirSmok-12: 2411 images.
- roboflow:smoke-and-fire-detection-22: 3847 images.
Source attribution and redistribution conditions are retained in provenance/hf-source-rights.json. FASDD images and their adaptations retain CC-BY-SA-4.0; Pyro-SDIS images retain Apache-2.0. Roboflow additions retain their individual recorded licences. Changes in this release: public-source selection, upstream box refinements, strict duplicate removal, source-specific category recovery and packaging of two annotation variants.
FASDD: Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo and Jian Li; FASDD / Science Data Bank. CC-BY-SA-4.0.
Pyro-SDIS: Pyronear contributors, volunteer annotators and partner SDIS; Pyro-SDIS Dataset, 2024. Apache-2.0.
Legacy HF annotations are traced to fireviewer/fire-smoke-detection-corpus-v1. Archive SHA-256: 7f0a7d63b9c2b308f786f2b564ef3f1f1c9fc07926d3277d7579c6599a2f3d65. Training-corpus fingerprint: ab4360d4ef3f6e1f419a317b9d8ddff5602c8e3e3394babd1bd0f3faa8916efe.
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